SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide giving our customers unmatched visibility into the entirety of their digital workforce ensuring workers have the right access to do their job – no more no less. Built on a foundation of AI and ML our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale velocity and changing needs of today’s cloud-oriented modern enterprise. About the role: As a Senior Data Engineer you will collaborate with a team of AI/ML Engineers Data Science and product management to design and build scalable data solutions that power the ML and analytics products our team owns. You will immediately join the team that is building AI Agents for the SailPoint Product Offering. In this role your technical skills and analytical mindset will be utilized designing and building data sets that will be consumed by other teams and functions to perform analytics on AI products. In the longer term will become well-versed in building complex feature sets that power AI/ML products. About the team: The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity governance. We believe the path to success is through meaningful customer outcomes and we leverage traditional AI/ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines. Requirements: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. B.S. in Computer Science or a related field. 5 to 9 years of professional experience Experience leading projects Ability to design and implement data models that support business requirements and analytics needs Experienced in engineering data pipelines and orchestrating workflows Demonstrated system-design experience orchestrating ELT processes targeting data Hands-on experience with at least one streaming or batch processing framework such as Flink or Spark. Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes. Familiarity with software engineering best practices (e.g. source control code reviews unit testing) Can-do attitude with a focus on delivering measurable business impact. Thrive in an environment with ambiguity demonstrating adaptability and problem-solving skills. Strong communicator who can convey complex topics to different audiences. Preferred Familiarity with machine learning concepts and tools to support data-driven decision-making Experience working with our team Tech Stack The Tech Stack: Required Core Programming: SQL Python Shell/Bash Preferred Cloud Platform: AWS Preferred Data: Snowflake DBT Kafka Airflow Feast Preferred Visualization: Tableau Qlik Preferred CI/CD: Cloudbees Jenkins Roadmap for success- 30 days: Understand the current data infrastructure and workflows. Get familiar with the team and ongoing projects. Start contributing to small tasks and bug fixes. 90 days: Take ownership of a scoped project or feature. Collaborate with team members to design and implement data models. Begin building data pipelines and orchestrating workflows. 6 months: Lead the design and implementation of ELT processes. Develop and maintain scalable data pipelines for both stream and batch processing. Ensure data security quality and compliance in your areas of ownership. 1 year: Spearhead complex data projects that power AI/ML products. Collaborate with cross-functional teams to integrate diverse data sources. Represent key data insights in a meaningful way to stakeholders. Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge skills experience market conditions and locations as well as reflect SailPoint’s differing products industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary for US-based employees will be in this range from (min-mid-max USD): $105500 - $150700 - $195900 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical dental and vision insurance 2. Disability coverage: Short-term and long-term disability 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) 4. Additional life coverage options: Supplemental life insurance for employees spouses and children 5. Flexible spending accounts for health care and dependent care limited purpose flexible spending account 6. Financial security: 401(k) Savings and Investment Plan with company matching 7. Time off benefits: Flexible vacation policy 8. Holidays: 8 paid holidays annually 9. Sick leave 10. Parental support: Paid parental leave 11. Employee Assistance Program (EAP) and Care Counselors 12. Voluntary benefits: Legal Assistance Critical Illness Accident Hospital Indemnity and Pet Insurance options 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability protected veteran status or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact hr@sailpoint.com or mail to 11120 Four Points Dr Suite 100 Austin TX 78726 to discuss reasonable accommodations.

Category Engineering Experience Principal Associate Primary Address Richmond Virginia Overview Senior Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994 Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. In 2022 we publicly announced Capital One Software and have since brought two of our B2B software solutions to market Slingshot and Databolt. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product tech and design leaders that tirelessly seek to question the status quo. As a Capital One Data Engineer you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. What You’ll Do: Collaborate with and across Agile teams to design develop test implement and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning distributed microservices and full stack systems Utilize programming languages like Java Scala Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake Share your passion for staying on top of tech trends experimenting with and learning new technologies participating in internal & external technology communities and mentoring other members of the engineering community Collaborate with digital product managers and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed elegantly coded and effectively tuned for performance Basic Qualifications: Bachelor’s Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python SQL Scala or Java 2+ years of experience with a public cloud (AWS Microsoft Azure Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce Hadoop Hive EMR Kafka Spark Gurobi or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo Cassandra) 2+ years of data warehousing experience (Databricks or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $144200 - $164600 for Senior Data Engineer Richmond VA: $144200 - $164600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy childbirth or related medical conditions) race color age national origin religion disability genetic information marital status sexual orientation gender identity gender reassignment citizenship immigration status protected veteran status or any other basis prohibited under applicable federal state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job show us who you are share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you we’ll make it official!

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

About Smart Working At Smart Working we believe your job should feel right — not just look right on paper. This isn’t just another remote role. This is belonging remotely — and that’s a big difference. From day one you're supported valued and part of a genuine community. We're proud to be one of the highest-rated companies on Glassdoor India. With one vision in mind — “Geographical limitations should not dictate access to talent” — Smart Working helps great people build long-term full-time remote careers with exceptional UK teams. We’ve created a culture where you're backed from day one and given the space to grow — personally and professionally. About the Role We’re hiring a Senior Azure Data Engineer for a UK-based data consultancy that delivers cloud-agnostic enterprise-scale solutions across Europe and Africa. With over two decades of experience in helping businesses turn complex data into actionable insights the company is known for its deep technical expertise and long-term client partnerships. This is a permanent full-time role ideal for someone who enjoys backend development communicates effectively and is experienced in building scalable data frameworks. You’ll be responsible for contributing to a Databricks framework and supporting your team with implementation best practices. ### What You’ll Be Doing Working on backend data engineering tasks using Azure. Contributing to the Databricks framework as part of the delivery team. Providing guidance to team members on Azure Databricks usage and best practices. ### Must-Have Skills Azure – Minimum 4 years of experience. Azure Databricks – Minimum 4 years of experience. ### Nice-to-Have Skills Hands-on experience in data engineering projects. Experience working within Azure Databricks environments. Ability to collaborate effectively within a technical team. ### Why Smart Workers Love It Here Fixed Shifts — 12:00 PM – 9:30 PM IST (Summer) u007C 1:00 PM – 10:30 PM IST (Winter). No Weekend Work — Real work-life balance not just words. Day 1 Benefits — Laptop and full medical insurance provided. Support That Matters — Mentorship community and forums where ideas are shared. True Belonging — A long-term home where your contributions are valued. At Smart Working you’ll never be just another remote hire. Be a Smart Worker — valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.

To help keep everyone safe we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional customer centered team with a passion for creating innovative technologies digital products and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer State Farm. Learn more about us and our work at quanata.com Our Team From data scientists and actuaries to engineers designers and marketers we're a world class team of tech-minded professionals from some of the best companies in Silicon Valley and around the world. We've come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology—it's hiring the talented people who will help us continue to make a quantifiable impact.#### The role We're looking for a Senior Data Engineer with a specialty in MLOps Engineering that can help drive the organization toward model development and delivery best practices. You will help shape and implement automation across the machine learning lifecycle from data collection to model training to model monitoring. In this high impact role you will partner with both data engineers focused on data science service delivery and data scientists to develop a robust platform that shortens the time to market of new data science models at Quanata. #### Your day-to-day Operationalize key data science solutions that enable risk‑prediction products across underwriting pricing claims routing and marketing. Design and build ML pipelines using industry best practices primarily leveraging AWS services like SageMaker and integrating with tools such as MLflow for experiment tracking and data platforms like Snowflake. Stand‑up and operate a shared feature store (Snowflake Snowpark + Kafka) that supports both batch and real‑time feature retrieval. Own real‑time inference services exposing low‑latency endpoints (SageMaker endpoints or EKS micro‑services) and managing blue/green or canary deployments. Implement comprehensive testing strategies (including Unit integration data validation model validation and performance testing) within robust CI/CD pipelines to maintain high platform quality. Enable ML Governance: Manage ML models and data versioning experiment tracking and reproducibility.. Implement event‑driven orchestration that triggers automated retraining evaluation and redeployment based on data drift or business events. Monitor production models for performance drift and data quality—and drive automated remediation. #### About you Bachelor degree or equivalent relevant experience and 8 years of industry experience with 2 years focused in MLOps and 2 years in software engineering or equivalent experience Comprehensive experience in Python and docker. Familiarity with build tooling such as bash and bazel. Advanced proficiency in IaC principles and tools like Terraform. Demonstrated expertise in designing deploying and managing scalable and resilient MLOps solutions on AWS. Applied expertise in the end-to-end machine learning lifecycle including data ingestion preprocessing model training deployment and production monitoring. Excellent written and verbal communication with a strong collaborative focus. proficiency in designing and implementing workflows using tools like AWS Step Functions Experience with CI/CD tailored for machine learning systems (e.g. automating model training validation and deployment) #### Bonus points Experience in designing and developing large-scale distributed systems complex APIs or contributing significantly to platform-level software engineering projects. Proficiency in utilizing Snowflake's advanced capabilities for ML such as Snowpark for Python/Java/Scala development creating and managing user-defined functions (UDFs) for in-database scoring or integrating directly with external model training and serving platforms. Prior experience working within the insurance industry or another highly regulated environment demonstrating an understanding of pertinent regulatory security and data governance challenges. Salary: $213000 to $300000 Please note that the final salary offered will be determined based on the selected candidate's skills and experience as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization. Additional Details: Benefits: We provide a wide variety of health wellness and other benefits.These include medical dental vision life insurance and supplemental income plans for you and your dependents a Headspace app subscription monthly wellness allowance and a 401(k) Plan with a company match. Work from Home Equipment: Given our virtual environment— in order to set you up for success at home a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also our teams work with MacBook Pros which we will deliver to you fully provisioned prior to your first day. Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent. Personal and Professional Development: We're committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp. Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S excluding U.S. territories. For most positions occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence Rhode Island may commute to one of our local offices as desired. Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones. Quanata LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records. If you are a San Francisco resident please read the City and County of San Francisco's Fair Chance Ordinance notice. https://www.sf.gov/sites/https://www.sf.gov/sites/default/files/2022-12/FCO%20poster20200.pdf This role is employed by Quanata LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation please reach out to your Talent Acquisition Partner for assistance.