Remote Canada
Job Title Data & AI Solution Architect – Data Modelling & Conversational AI Location 1 Canada 1 India About the Role We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for a modern data platform. Working within the Enterprise Architecture team you will design enterprise data modelling and conversational AI architectures that enable trusted data and AI analytics across the organization. The primary focus will be on reusable data modelling standards solution architecture patterns semantic engineering frameworks and conversational AI capabilities using Databricks. You will guide delivery teams in adopting enterprise architecture standards and best practices to deliver trusted governed and scalable data products. You will also translate enterprise architecture standards into solution designs reusable patterns and technical guidance for HUB & SPOKE teams. What You'll Do Design solution architectures for modern data and AI platforms on Databricks. Define and promote enterprise standards for data products data modelling Medallion Architecture dbt Unity Catalog and data engineering. Create reusable architecture patterns reference designs and implementation guidance for HUB & SPOKE teams. Design semantic models and architecture patterns that enable trusted analytics and conversational AI capabilities. Support the development of scalable governed and reusable data products aligned with enterprise standards. Lead architecture reviews solution design workshops office hours and technical coaching sessions. Partner with data engineering analytics AI and enterprise architecture teams to define scalable solutions. Establish data modelling and semantic engineering frameworks to support self-service analytics. Provide technical guidance on modern data platform architecture governance and best practices. Support teams in adopting Databricks-based solutions and enterprise architecture standards. Qualifications 8+ years of experience in enterprise solution architecture or modern cloud data platforms. Strong hands-on experience with Databricks dbt Unity Catalog SQL and Python. Deep understanding of dimensional modelling semantic modelling Medallion Architecture and data product design. Experience designing enterprise data architectures and reusable solution patterns. Strong knowledge of modern data engineering and analytics architectures. Experience designing trusted governed scalable and self-service data platforms. Knowledge of semantic layers and architectures supporting conversational AI and AI-driven analytics. Ability to translate business and enterprise architecture requirements into practical technical designs. Experience leading architecture reviews design workshops and technical discussions. Strong communication and stakeholder management skills with the ability to guide cross-functional delivery teams. Ability to work independently and provide technical leadership across multiple teams and initiatives Pay $50.00-$55.00 per hour Work Location Remote
Remote Canada
About SH/FT Shift Paradigm is an execution-led strategic consultancy that bridges the gap between enterprise strategy and technical reality. We partner with Fortune 500 brands and emerging leaders to solve the inherent complexity of modern digital marketing. As partners to the world’s leading MarTech platforms including Adobe Salesforce Optimizely and Braze we deploy integrated experts across data analytics marketing strategy technology development engineering and revenue operations to ensure our clients’ tech stacks don't just exist but perform. The Role We are seeking a forward-thinking consultative Data & Analytics Engineer to design build and maintain enterprise marketing data models ontologies and semantic context layers. In this role you will act as a strategic bridge between business leaders and technical execution—partnering directly with clients to understand their strategic goals and translating those business requirements into scalable warehouse-native data infrastructure. Beyond core data engineering you will spearhead how our clients' data ecosystems adapt to an evolving agentic future. You will architect the semantic models and data integration patterns required to power autonomous AI agents both native to modern cloud data platforms (such as Databricks and Snowflake) and across connected MarTech platforms (such as Salesforce Hightouch). What You'll Accomplish Consultative Requirements & Architecture Partner with key business stakeholders to uncover core business goals mapping complex business domain needs into unified data engineering solutions semantic layers and robust warehouse architectures. Agentic & AI Data Readiness Architect forward-looking context layers and semantic models designed specifically for AI/LLM-driven engines and autonomous agents—ensuring data ecosystems (from modern cloud warehouses to activation platforms like Hightouch and Salesforce) are structured for reliable execution. Taxonomy & Metadata Engineering Design scalable data models (e.g. Medallion/Multi-layer architectures) to house controlled classification hierarchies unified asset tags and standardized business glossaries across marketing channels. Identity & Semantic Modeling Build and maintain deterministic and probabilistic identity resolution models and graph-like bridge tables to resolve customer identities across CRM IDs device tokens and digital touchpoints. Cross-System Pipeline Integration Lead the technical integration of complex cross-system datasets developing high-performance ingestion and transformation pipelines to unify marketing metadata CDP activation models DAM content and real-time telemetry. Data Governance & Quality Implement enterprise governance business glossaries access controls and data cataloging (e.g. Unity Catalog Snowflake Horizon) to enable secure self-service analytics and reliable AI execution. What You Bring Experience & Expertise 5+ years of hands-on experience in data engineering analytics engineering or data architecture building production-grade data pipelines and semantic models. 2+ years in a client-facing consultative or strategic lead role—demonstrated ability to run discovery map business goals to technical architectures and present solutions to cross-functional stakeholders. Consultative Mindset Strong ability to navigate ambiguity translate non-technical business strategies into clear technical specifications and articulate technical trade-offs to executives and cross-functional teams. Strategic Vision for AI/Agents A keen interest in the shift toward agentic AI with an understanding of how data modeling semantics and context layers must adapt to support autonomous workflows across data platforms and marketing engines. Cloud Data Platform Expertise Hands-on experience designing production pipelines and semantic data models across modern cloud data platforms with deep expertise in Databricks Snowflake or equivalent architectures. Advanced Data Engineering Skills Proficiency in SQL Python/PySpark data pipeline orchestration and modern data stack tooling (e.g. dbt). Domain & Integration Knowledge Experience with marketing technology (MarTech) Customer Data Platforms (CDPs) reverse ETL tools (e.g. Hightouch Census) and enterprise platforms (e.g. Salesforce Marketing Cloud CRMs). Data Modeling Fundamentals Proven track record in multi-dimensional schema design identity resolution modeling graph/hierarchical structures and API payload parsing (nested JSON/REST). Relevant Certifications (Preferred) Professional Data Engineer / Analytics Engineer certifications in Databricks or Snowflake. Preferred Certifications Databricks Certified Data Engineer Professional or Certified Analytics Engineer. Snowflake SnowPro Core or SnowPro Advanced Architect. dbt dbt Cloud Developer Certification. Mindset Forward-Thinking AI Perspective Active interest and practical awareness of agentic AI concepts (e.g. tool use LLM context retrieval autonomous agent workflows) and how data modeling must evolve to serve them. Remote & Autonomous Ability to manage complex deliverables independently in a distributed fast-paced environment. What We Offer - Competitive compensation aligned with your experience and impact Remote flexibility Collaborative culture that values diverse perspectives and innovative thinking Work that makes a measurable difference for your clients Why SH/FT SH/FT is a consultancy built for transformation. We bridge the gap between marketing data and technology to unlock growth for some of the world's most recognized brands. At SH/FT you'll shape the future of how organizations connect with their customers through intelligent architecture scalable systems and the power of data-driven strategy. Comp & Benefits - The US salary range for this role is $120000 to $140000 USD. Salary is based on several factors including but not limited to skillset relevant education level of experience certifications and scope of responsibilities. In addition to base salary SH/FT offers benefits such as medical dental vision STD/LTD Life/AD&D Flexible Paid Time Off and various other ancillary benefits and perks. We welcome and encourage applications from people with disabilities under the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request for candidates taking part in all aspects of the selection process. Candidates must have current US or Canada work authorization. For US candidates this employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. No relocation assistance can be offered at this time. All inquiries are held in strict confidence. The pay range for this role is 120000 - 140000 USD per year(Remote (United States))
Remote Brazil
About the role We are looking for a Middle Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake following a medallion architecture across bronze silver and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development. What you will do Design build and operate batch and streaming data pipelines on Databricks using PySpark Delta Lake and Databricks Workflows. Model and maintain a medallion (bronze/silver/gold) architecture serving analytics reporting and machine learning consumers. Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption. Use Claude or Github Copilot as a development accelerator generating code scaffolding writing and reviewing tests creating documentation and prototyping solutions. Write clean well-tested Python and SQL maintain high standards through code review and documentation. Optimize Spark jobs and Delta tables for performance and cost including partitioning clustering caching and cluster sizing. Implement data quality lineage and governance controls using Unity Catalog and automated validation checks. Debug troubleshoot and resolve pipeline failures data defects and production incidents. Collaborate with DevOps platform and analytics engineers on observability security and compliance best practices. Must haves 3+ years of professional experience in data engineering featuring direct expertise with Apache Spark and cloud-based data architectures. Strong hands-on experience building data pipelines with Databricks Apache Spark (PySpark) and Delta Lake. Advanced SQL and Python with strong data modeling skills across dimensional and Lakehouse patterns. Experience with streaming ingestion using Structured Streaming Auto Loader Kafka or Event Hubs. Experience with workflow orchestration (Databricks Workflows Airflow or Azure Data Factory). Experience with legacy platform migrations ETL modernization or managing data hygiene when porting old systems. Strong problem-solving collaboration and communication skills. Familiarity with Unity Catalog data governance access control and PII handling. Experience with dbt or an equivalent transformation framework. Familiarity with secure coding standards and industry security best practices. Experience delivering production data platforms at scale. Upper-intermediate English level. Nice to haves Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure DevOps. Experience working with relational databases (specifically PostgreSQL) and data persistence concepts. Familiarity with logging and monitoring tools (e.g. Dynatrace CloudWatch Databricks system tables). Experience working in Agile or team-based development environments preferred. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote
Remote Brazil
About the role We are looking for an experienced Senior Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake following a medallion architecture across bronze silver and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development. What you will do Design build and operate batch and streaming data pipelines on Databricks using PySpark Delta Lake and Databricks Workflows. Model and maintain a medallion (bronze/silver/gold) architecture serving analytics reporting and machine learning consumers. Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption. Use Claude or Github Copilot as a development accelerator generating code scaffolding writing and reviewing tests creating documentation and prototyping solutions. Write clean well-tested Python and SQL maintain high standards through code review and documentation. Optimize Spark jobs and Delta tables for performance and cost including partitioning clustering caching and cluster sizing. Implement data quality lineage and governance controls using Unity Catalog and automated validation checks. Debug troubleshoot and resolve pipeline failures data defects and production incidents. Participate in Agile or product-centric delivery practices including sprint planning and retrospectives. Collaborate with DevOps platform and analytics engineers on observability security and compliance best practices. Must haves 4+ years of professional experience in data engineering featuring direct expertise with Apache Spark and cloud-based data architectures. Strong hands-on experience building data pipelines with Databricks Apache Spark (PySpark) and Delta Lake. Advanced SQL and Python with strong data modeling skills across dimensional and Lakehouse patterns. Experience with streaming ingestion using Structured Streaming Auto Loader Kafka or Event Hubs. Experience with workflow orchestration (Databricks Workflows Airflow or Azure Data Factory). Experience with legacy platform migrations ETL modernization or managing data hygiene when porting old systems. Strong problem-solving collaboration and communication skills including mentoring junior engineers and explaining data concepts to non-technical stakeholders. Familiarity with Unity Catalog data governance access control and PII handling. Experience with dbt or an equivalent transformation framework. Familiarity with secure coding standards and industry security best practices. Experience delivering production data platforms at scale. Upper-intermediate English level. Nice to haves Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure Devops. Experience working with relational databases (specifically PostgreSQL) and data persistence concepts. Familiarity with logging and monitoring tools (e.g. Dynatrace CloudWatch Databricks system tables). Experience working in Agile or team-based development environments preferred. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote
Remote Australia
Electricity grids are undergoing the most significant transformation in a century. The shift to renewables the proliferation of rooftop solar batteries and EVs and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight is the analytics platform that makes this possible. Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification and decarbonisation. We are an AI-powered vertical SaaS platform that enables electric utilities to modernise grid operations accelerate DER interconnection and unlock dynamic grid capacity. The opportunity is enormous. Why Now Gridsight was founded in Australia five years ago. Since then we’ve established strong product–market fit and emerged as the category leader. We are now scaling rapidly across the US with multiple Top 20 utilities. This role exists because we're growing faster than our current implementation process and we need someone who can both roll up their sleeves to deliver today and help us build the tooling and process that makes tomorrow faster. You'll be working at the intersection of delivery and data — close to customers close to the commercial team and close to the product and engineering decisions that shape what we build next. The Role As a Customer Data Analyst you'll turn our utility customers' data into actionable insights. You'll build dashboards and visualisations that help customers see and understand their grid and deliver bespoke analysis that answers questions they can't yet answer themselves. You'll work alongside our Power Engineers who bring deep subject matter expertise and lead technical delivery with customers. You'll partner with our Customer Data Engineers to make sure the data you need is available well-structured and reliable. And you'll work with Product to translate recurring analyses into platform features when we see enough demand across the market. Gridsight runs an AI-forward stack that gives the team access to best-in-class tooling across data infrastructure orchestration and AI-assisted development including Databricks dbt Dagster AWS and enterprise Claude Code. Staying ahead of the curve is part of the job. This is a great role for someone who loves working with data enjoys being close to customers and wants to see their analysis evolve from a one-off deliverable into a product used across the industry. Key Responsibilities Analytics & Visualization (~55%) Build dashboards and visualizations for customers making complex grid data clear and actionable. Translate customer business questions into analytical tasks and communicate findings clearly to both technical and non-technical audiences. Deliver ad hoc and bespoke analysis to answer questions and surface insights that aren't yet available through the product. Validate outputs against quality standards to ensure analysis is accurate and trustworthy. Customer Delivery Support (~25%) Work alongside Power Engineers who provide subject matter expertise and lead technical delivery to support end-to-end customer engagements. Partner with Customer Data Engineers to ensure the data required for analytics is available correctly mapped and fit for purpose. Debug data and analysis issues with composure — triaging problems communicating clearly with customers and driving resolution. Product Support (~20%) Identify and communicate patterns across customer engagements to inform product direction. Partner with Product to translate bespoke analyses into repeatable platform-ready features where there's enough demand and signal from customers across the market. Contribute to internal documentation playbooks and tooling that improve the efficiency and consistency of future analytics and delivery work. Bring a tool-first mindset spot manual steps that can be automated and take initiative to improve them. Qualifications 2+ years of professional experience in data analytics analytics engineering data engineering technical consulting or a similar role combining hands-on data work with stakeholder engagement. Strong SQL skills and demonstrated ability to analyse validate and wrangle complex or messy datasets. Experience building dashboards and data visualizations. Proficiency in Python for data analysis transformation and scripting. Ability to communicate data-driven findings clearly to both technical and non-technical audiences. Experience with cloud data infrastructure and modern development practices (Git command-line environments collaborative codebases). Exposure to dbt or similar ELT/ETL frameworks. Strong problem-solving skills and a methodical approach to troubleshooting technical issues. Proven problem-solving abilities and a self-starter mentality comfortable working in a fast-paced startup environment. What We Offer - Competitive salary. We hold high expectations but pay accordingly. Meaningful ESOP so you share in the growth of Gridsight. $2500 WFH allowance $2500 health and wellness allowance bi-annual in person working weeks and lunch is on us when you’re in office. Work how you like. Fully remote hybrid or in office with a fresh new head office in Sydney and satellite spaces in Melbourne Brisbane and Hobart.
Halifax, Nova Scotia, Canada
"Affirm is reinventing credit to make it more honest and friendly giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About The Team We’re looking for an experienced highly independent analytics engineer to join our Revenue Analytics team. This team owns the data products reporting infrastructure semantic foundations and analytical systems that support Affirm’s Revenue organization. About The Role In this role you will lead the development of scalable trusted data products for Affirm’s revenue teams. You turn ambiguous business and technical problems into scalable solutions across data modeling metrics dashboards automation governance and AI enablement. You will help set the technical direction for Revenue’s data layer establish the semantic and metadata foundations required for AI and raise the quality and impact of data across the Revenue organization. What You’ll Do Lead high-impact data product initiatives for Revenue from ambiguous problem definition through technical design implementation rollout and adoption. Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases integrating AI into analytics engineering workflows and establishing the semantic metadata context quality and evaluation foundations required for AI. Design and build durable well-tested data products that power revenue operations field and executive reporting external merchant reporting and analyst self-service. Set technical direction for Revenue’s data layer across dbt models metrics semantic structures documentation lineage testing governance and access controls. Identify opportunities to simplify automate and scale Revenue Analytics through improved data architecture tooling governance and enablement. Provide technical leadership and mentorship to analysts and cross-functional partners raising the bar for how data products are designed built and maintained. What We Look For 7+ years of experience in analytics engineering business intelligence data engineering data product development or a related technical analytics role. Deep expertise in SQL dbt data modeling metrics design data quality documentation and modern analytics engineering practices. Strong working knowledge of BI tools such as Sigma Looker or Tableau cloud data warehouses such as Snowflake and modern data platforms such as Databricks. Strong understanding of the foundations required for reliable AI—including semantic layers metadata evaluations documentation lineage access controls and data quality—and experience applying AI tools within analytics engineering workflows. Demonstrated ability to independently lead complex ambiguous projects by defining scope sequencing work managing tradeoffs aligning stakeholders and delivering durable technical solutions. Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders around architecture and product direction. Familiarity with Salesforce and experience supporting commercial GTM revenue or sales operations teams. Pay Grade - O Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors including location experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards monthly stipends for health wellness and tech spending and benefits (including 100% subsidized medical coverage dental and vision for you and your dependents.) CAN base pay range per year $173000 - $233000 Please note that visa sponsorship is not available for this position. Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. Benefits We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology Food various Lifestyle needs and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking ""Submit Application"" you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection processing use and storage of your personal information as described therein."
Hamilton, Ontario, Canada
"Affirm is reinventing credit to make it more honest and friendly giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About The Team We’re looking for an experienced highly independent analytics engineer to join our Revenue Analytics team. This team owns the data products reporting infrastructure semantic foundations and analytical systems that support Affirm’s Revenue organization. About The Role In this role you will lead the development of scalable trusted data products for Affirm’s revenue teams. You turn ambiguous business and technical problems into scalable solutions across data modeling metrics dashboards automation governance and AI enablement. You will help set the technical direction for Revenue’s data layer establish the semantic and metadata foundations required for AI and raise the quality and impact of data across the Revenue organization. What You’ll Do Lead high-impact data product initiatives for Revenue from ambiguous problem definition through technical design implementation rollout and adoption. Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases integrating AI into analytics engineering workflows and establishing the semantic metadata context quality and evaluation foundations required for AI. Design and build durable well-tested data products that power revenue operations field and executive reporting external merchant reporting and analyst self-service. Set technical direction for Revenue’s data layer across dbt models metrics semantic structures documentation lineage testing governance and access controls. Identify opportunities to simplify automate and scale Revenue Analytics through improved data architecture tooling governance and enablement. Provide technical leadership and mentorship to analysts and cross-functional partners raising the bar for how data products are designed built and maintained. What We Look For 7+ years of experience in analytics engineering business intelligence data engineering data product development or a related technical analytics role. Deep expertise in SQL dbt data modeling metrics design data quality documentation and modern analytics engineering practices. Strong working knowledge of BI tools such as Sigma Looker or Tableau cloud data warehouses such as Snowflake and modern data platforms such as Databricks. Strong understanding of the foundations required for reliable AI—including semantic layers metadata evaluations documentation lineage access controls and data quality—and experience applying AI tools within analytics engineering workflows. Demonstrated ability to independently lead complex ambiguous projects by defining scope sequencing work managing tradeoffs aligning stakeholders and delivering durable technical solutions. Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders around architecture and product direction. Familiarity with Salesforce and experience supporting commercial GTM revenue or sales operations teams. Pay Grade - O Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors including location experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards monthly stipends for health wellness and tech spending and benefits (including 100% subsidized medical coverage dental and vision for you and your dependents.) CAN base pay range per year $173000 - $233000 Please note that visa sponsorship is not available for this position. Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. Benefits We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology Food various Lifestyle needs and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking ""Submit Application"" you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection processing use and storage of your personal information as described therein."
Oakland, CA
PLEASE NOTE Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL Overview The Risk Adjustment Strategic Analytics team is seeking a Data Reporting and Analytics Consultant to support scoping and conducting complex analytics consistently applying storytelling fundamentals to analyses and presenting research findings that directly support strategic decision-making and operational excellence to generate actionable insights and support strategic decision-making. The role requires experience in Risk Adjustment (MA ACA and Medicaid) robust analytical skills data visualization proficiency in Azure Synapse SQL Power BI Excel and PowerPoint and a proven ability to translate complex data into actionable business intelligence within a dynamic healthcare environment. Familiarity with Databricks Python GitHub Jira and statistical modeling are preferred. Job Summary This individual contributor is primarily responsible for driving strategic data-informed decisions gathering data and information on targeted variables in an established systematic fashion preparing data for analytic efforts and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes develops implements and automates business and reporting solutions and develops analytical and/or statistical models enabling informed business decisions. Essential Responsibilities Practices self-development and promotes learning in others by proactively providing information resources advice and expertise with coworkers and customers building relationships with cross-functional stakeholders influencing others through technical explanations and examples adapting to competing demands and new responsibilities listening and responding to seeking and addressing performance feedback providing feedback to others creating and executing plans to capitalize on strengths and develop weaknesses supporting team collaboration and adapting to and learning from change difficulties and feedback. Completes work assignments and supports business-specific projects by applying expertise in subject area supporting the development of work plans to meet business priorities and deadlines ensuring team follows all procedures and policies coordinating resources to accomplish priorities and deadlines collaborating cross-functionally to make effective business decisions solving complex problems escalating high priority issues or risks as appropriate and recognizing and capitalizing on improvement opportunities. Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed defining calculating and validating algorithms and conducting analyses including descriptive correlational inferential and/or predictive statistics. Develops implements and automates business and reporting solutions by working with stakeholders in their design planning and implementation while ensuring consistency and coherency evaluating and summarizing data and results creating summary statistics developing data reports visualizations and/or interactive Business Intelligence (BI) reports reporting to stakeholders on key findings identifying needs for the development and implementation of additional reporting solutions and preparing documentation as appropriate. Interprets data analyses by applying findings to contextual settings and developing insights reports and presentations telling a compelling story to stakeholders to enable and influence decision making and providing context related to data interpretations and/or limitations as appropriate. Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs developing outcomes and process measures translating business requirements determining data/information needs and data collection methods developing analysis plans measuring the impact of business decisions on clients customers and/or members working with clients and staff to identify opportunities and methods to improve efficiencies with analysis supporting and training end-users and documenting processes and deliverables. Gathers data and information on targeted variables in an established systematic fashion by validating data sources querying merging and extracting data across sources completing routine data refresh and update developing and/or delivering tools for electronic data collection and providing user training support and documentation. Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements creating models leading to actionable insights and testing refining and validating models. Prepares data for analytic efforts by integrating and consolidating data ensuring data quality and accuracy profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data and cleaning and creating final data set(s) for analysis. Minimum Qualifications Minimum one (1) year experience in a leadership role with or without direct reports. Bachelors degree in Mathematics Statistics Engineering Social/Physical/Life Science Business or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Additional Requirements Knowledge Skills and Abilities (KSAs) Negotiation Business Planning Written Communication Data Extraction Data Mining Data Visualization Tools Statistical Programming Language Relational Database Management Vendor Management Project Management Preferred Qualifications Two (2) years project management experience. Two (2) years experience in process improvement. Primary Location CaliforniaOaklandOrdway Scheduled Weekly Hours 40 Shift Day Workdays Mon Tue Wed Thu Fri Working Hours Start 0800 AM Working Hours End 0500 PM Job Schedule Full-time Job Type Standard Worker Location Remote Employee Status Regular Employee Group/Union Affiliation NUE-PO-01NUENon Union Employee Job Level Individual Contributor Department Po/Ho Corp - Medicare LOB Admin - 0308 Pay Range $130200 - $168410 / year Kaiser Permanente strives to offer a market competitive total rewards package and is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not reflect the full value of our total rewards package. Actual base pay determined at offer will be based on labor market data internal alignment and a candidate's years of relevant work experience education certifications skills and geographic location. Travel No Work Setting Remote Worker location must align with Kaiser Permanente's Authorized States policy. Kaiser Permanente is an equal opportunity employer committed to fair respectful and inclusive workplaces. Applicants will be considered for employment without regard to race religion sex age national origin disability veteran status or any other protected characteristic or status.
Virginia, United States
City/State Norfolk VA Work Shift First (Days) Overview Sentara Health Plan is currently hiring a Senior Pharmacy Financial & Analytics Analyst - Remote! Status Full-time permanent position (40 hours) Work hours 8am to 5pm ET M-F CT if applicable Location Remote are opportunities available in the following states Virginia North Carolina Alabama Delaware Florida Georgia Idaho Indiana Kansas Louisiana Maine Maryland Minnesota Nebraska Nevada New Hampshire North Carolina North Dakota Ohio Oklahoma Pennsylvania South Carolina South Dakota Tennessee Texas Utah Virginia Washington (state) West Virginia Wisconsin Wyoming Overview The Senior Pharmacy Performance Specialist acts as a liaison between Finance Analytics IT and Pharmacy. This position will focus on understanding data content and the business logic behind all data transformation for reporting. This person is responsible for developing expertise in the data and systems leveraged internally and externally for the Pharmacy Department. This position offers the opportunity to work across all lines of business and collaborate with stakeholders in numerous teams. Additionally the person is responsible for gathering requirements performing analysis supporting the development and testing of processes and understanding and documenting the applications data and associated technologies for the Pharmacy Department. Education Bachelor’s degree REQUIRED Certification/License None required Experience Database Management- 2 years REQUIRED Data Analysis – 2 years REQUIRED Managed Care – 2 years REQUIRED Experience in Pharmacy PBM REQUIRED Experience with SQL (Intermediate–Advanced) - Writing queries from scratch preferred Experience working with datasets including understanding table relationships joins and data flow across systems preferred Experience with Databricks experience - Data engineering / big data platform preferred Experience with Excel (Intermediate–Advanced) - Data manipulation analysis and reporting (e.g. formulas pivot tables) preferred Demonstrated ability to work independently take initiative and resolve problems using available resources preferred We provide market-competitive compensation packages inclusive of base pay incentives and benefits. The base pay rate for Full Time employment is $ 80204.80 - $133681.60 annually. Additional compensation may be available for this role such as shift differentials standby/on-call overtime premiums extra shift incentives or bonus opportunities. Talroo-Health Plan Keywords Senior Pharmacy Performance Specialist Analyst SQL Databricks Excel Database Management Analytics Benefits Caring For Your Family and Your Career Medical Dental Vision plans Adoption Fertility and Surrogacy Reimbursement up to $10000 Paid Time Off and Sick Leave Paid Parental & Family Caregiver Leave Emergency Backup Care Long-Term Short-Term Disability and Critical Illness plans Life Insurance 401k/403B with Employer Match Tuition Assistance – $5250/year and discounted educational opportunities through Guild Education Student Debt Pay Down – $10000 Pet Insurance Legal Resources Plan Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30000-member workforce. Diversity inclusion and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission “to improve health every day” this is a tobacco-free environment. For positions that are available as remote work Sentara Health employs associates in the following states Alabama Delaware Florida Georgia Idaho Indiana Kansas Louisiana Maine Maryland Minnesota Nebraska Nevada New Hampshire North Carolina North Dakota Ohio Oklahoma Pennsylvania South Carolina South Dakota Tennessee Texas Utah Virginia Washington West Virginia Wisconsin and Wyoming.
Job Description Type of Requisition Regular Clearance Level Must Currently Possess None Clearance Level Must Be Able To Obtain None Public Trust/Other Required BI Full 6C (T4) Job Family Cyber and IT Risk Management Skills Job Qualifications GitHub Jira and Confluence administration Web Application Security Certifications None Experience 5 + years of related experience US Citizenship Required No Job Description Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.  The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Performance & Data Optimization Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for monitoring and optimizing the performance of the enterprise cloud data platform focusing on database performance query execution indexing strategies and overall platform efficiency. This role identifies bottlenecks tunes queries and platform configurations and partners with data engineering and platform teams to ensure the CMM Data Modernization & Governance platform runs efficiently reliably and cost-effectively at scale. THE PERFORMANCE & DATA OPTIMIZATION ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES Optimize databases and platform performance across cloud data warehouses/lakes including query execution indexing partitioning and caching. Monitor system health manage incidents events and operational reporting. Diagnose and resolve performance bottlenecks in queries pipelines and resource utilization (CPU memory storage network I/O concurrency). Analyze and tune SQL ETL/ELT data models ingestion patterns and workload performance for efficiency and cost. Establish and maintain SLAs baselines dashboards and automated monitoring/alerting. Plan capacity perform workload analysis and guide scaling and cost-optimization decisions. Collaborate with platform engineers DBAs architects and application teams to optimize compute/storage configurations and resolve issues. Maintain access controls user roles and identity integrations including SSO MFA and JENIE-based least privilege enforcement. Provide disaster recovery and continuity options including high availability fault tolerance and automated failover. Integrate DevSecOps tools and processes with enterprise systems to ensure unified security posture. Manage centralized secrets with automated rotation access logging and policy enforcement. Embed SAST DAST SCA and CSPM tools into CI/CD for continuous assessment and remediation. Implement automated continuous 24/7 monitoring for security performance and compliance with real-time dashboards. Ensure automated SBOM generation and management for all deployed artifacts. Provide diagnostics metrics gathering and performance tuning support canary releases for testing. Collaborate with data governance and data quality teams to ensure performance optimization efforts align with data standards and controls. Collaborate with Data Platform Engineers Database Administrators Data Architects and Data Engineers to resolve performance issues. Perform automated full-stack health checks at agreed intervals. Deliver monthly reports covering incidents stability performance configurations ticket volume and resolution times. Support high availability disaster recovery and business continuity requirements. Contribute to platform performance standards engineering guidelines and optimization best practices. QUALIFICATIONS Education Bachelor’s degree in Computer Science Software Engineering or related field. Experience 5+ years’ experience in IT system engineering development and programming with a strong focus on diagnosing optimizing and improving system and data‑pipeline performance. Deep expertise in AWS services across compute storage networking monitoring and logging. Proficient with IaC tools (Terraform CloudFormation Azure Bicep) for building optimized cost‑efficient autoscaling infrastructure configurations. Experienced with monitoring/APM platforms (CloudWatch Azure Monitor Datadog Prometheus Grafana New Relic) focusing on identifying performance bottlenecks improving query and workload efficiency and reducing latency. Strong background in incident response and change management with the ability to quickly isolate troubleshoot and resolve performance degradation issues. Skilled with CI/CD toolchains (Jenkins GitHub Actions GitLab ArgoCD) to optimize build and deployment pipelines and reduce performance overhead. Strong scripting abilities (Python PowerShell Bash). Advanced DevSecOps and GitOps experience with the ability to optimize deployment workflows automate testing and ensure high‑performance release pipelines. Hands-on experience building testing and maintaining containerized applications. Expert in version control and enterprise CI/CD pipelines leveraging automation to streamline performance‑critical workflows. Flexible collaborator across multiple teams and products. Experience with FinOps cost modeling forecasting and cloud cost optimization. Knowledge of federal compliance frameworks (FedRAMP NIST JISF Rev 5). Skilled in log/metric analysis and cloud performance tuning. Experienced working across product teams to assess system health. Strong SQL and database performance‑tuning skills with ability to optimize ELT/ETL pipelines refactor SQL logic tune joins improve concurrency and tune execution plans. Experience in query optimization indexing partitioning clustering and execution-plan analysis. Familiar with cloud data platforms and distributed data-processing environments. Strong performance‑monitoring and troubleshooting capabilities for database optimization pipeline tuning and cloud‑platform efficiency improvements. Excellent analytical and problem‑solving skills. Preferred experience with Snowflake Databricks Amazon Redshift PostgreSQL SQL Server Oracle or equivalent platforms. Preferred experience with optimizing large-scale analytical workloads. PREFERRED CERTIFICATIONS One or more of the following certifications is preferred but not required . Certified Data Management Professional (CDMP) Snowflake SnowPro Advanced Databricks Certified Data Professional AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect – Professional AWS Certified Data Engineer Docker Certified Associate. Certified Kubernetes Administrator Certified Professional DevSecOps Certification Course ITIL AWS SysOps Google Cloud DevOps Engineer. Security Clearance Level Must be able to pass a background check to obtain a position of Public Trust. Must be a US Person (Green Card Holder US Permanent Resident Alien Refugee Asylee or US Citizen). Location Remote. GDIT IS YOUR PLACE At GDIT the mission is our purpose and our people are at the center of everything we do. Growth AI-powered career tool that identifies career steps and learning opportunities Support An internal mobility team focused on helping you achieve your career goals Rewards Comprehensive benefits and wellness packages 401K with company match and competitive pay and paid time off Flexibility Full-flex work week to own your priorities at work and at home Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. GDITLA The likely salary range for this position is $128039 - $173229. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours 40 Travel Required Less than 10% Telecommuting Options Remote Work Location Any Location / Remote Additional Work Locations Total Rewards At GDIT Our benefits package for all US-based employees includes a variety of medical plan options some with Health Savings Accounts dental plan options a vision plan and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance GDIT offers employees full flex work weeks where possible and a variety of paid time off plans including vacation sick and personal time holidays paid parental military bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations personal business and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income other offerings such as short and long-term disability benefits life accidental death and dismemberment personal accident critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide offering leading mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
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