ETL Developer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud AI data and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title ETL Developer Location 100% Remote (U.S.) Position Type Full-time Direct W2 Salary Range $115000–$175000 Annually Experience Required 5+ years Sponsorship U.S. Citizens Green Card Holders EAD Holders and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced ETL Developer to design develop and optimize enterprise-scale data integration solutions supporting business intelligence analytics regulatory reporting and cloud data modernization initiatives. This role focuses on building high-performance ETL pipelines that ingest transform validate and deliver data from diverse operational systems into enterprise data warehouses and cloud-based analytics platforms. You will collaborate with data architects data engineers business analysts cloud engineers and BI developers to develop scalable data integration frameworks automate complex workflows and ensure the delivery of high-quality trusted data across the organization. The ideal candidate combines strong ETL development expertise with advanced SQL skills cloud data platform experience and a deep understanding of data warehousing and enterprise data governance. Key Responsibilities Design develop and maintain enterprise ETL/ELT pipelines for large-scale data integration projects. Build scalable data ingestion workflows that extract data from relational databases cloud applications APIs flat files and enterprise systems. Develop transformation logic for cleansing standardizing validating and enriching large datasets. Design and optimize batch and near real-time data processing pipelines supporting business-critical reporting and analytics. Implement Slowly Changing Dimensions (SCD) Change Data Capture (CDC) incremental loading strategies and data reconciliation processes. Develop reusable ETL frameworks metadata-driven workflows and parameterized jobs to improve maintainability. Perform source-to-target mapping data profiling and data quality analysis during project implementation. Optimize ETL job performance by improving SQL queries partitioning strategies indexing and parallel processing. Monitor ETL workflows troubleshoot production failures and implement proactive alerting and recovery mechanisms. Collaborate with cloud engineers to migrate legacy ETL workloads to Azure or AWS cloud platforms. Participate in data architecture discussions code reviews deployment planning and production support. Ensure data security governance auditability and regulatory compliance across enterprise data pipelines. Required Skills Five or more years of professional experience developing enterprise ETL solutions. Strong hands-on experience with ETL platforms such as Informatica PowerCenter SSIS Talend IBM DataStage or Pentaho. Advanced SQL development skills with SQL Server Oracle PostgreSQL Snowflake or Teradata. Strong understanding of relational databases dimensional modeling star schema snowflake schema and data warehousing principles. Experience designing ETL workflows involving complex transformations joins aggregations lookups and data validation. Hands-on experience implementing Change Data Capture (CDC) Slowly Changing Dimensions (SCD Type 1 & Type 2) and incremental loading techniques. Experience working with cloud data platforms including Azure Data Factory (ADF) AWS Glue or Google Cloud Data Fusion. Experience integrating structured and semi-structured data formats including JSON XML CSV Parquet and Avro. Familiarity with scripting languages such as Python PowerShell or Shell scripting for ETL automation. Experience scheduling workflows using Control-M Autosys Apache Airflow Azure Data Factory or enterprise schedulers. Experience with Git Azure DevOps Jenkins or other CI/CD tools for ETL deployments. Strong debugging troubleshooting and ETL performance tuning skills. Experience working with Agile Scrum teams and enterprise SDLC processes. Preferred Qualifications Experience with cloud data warehouses including Snowflake Azure Synapse Analytics Amazon Redshift or Google BigQuery. Knowledge of Apache Spark Databricks PySpark or distributed data processing frameworks. Experience implementing enterprise Master Data Management (MDM) and Data Quality solutions. Familiarity with streaming technologies including Apache Kafka Azure Event Hub or Amazon Kinesis. Experience developing metadata-driven ETL frameworks and reusable integration components. Knowledge of Data Vault 2.0 architecture and modern data lakehouse concepts. Familiarity with DevOps practices for data engineering and automated ETL deployments. Experience with BI platforms including Power BI Tableau or Qlik for downstream reporting integration. Understanding of data governance frameworks lineage cataloging and regulatory compliance. Cloud certifications in Azure AWS Snowflake or Informatica are highly desirable. Project Environment You will be joining an enterprise data engineering team responsible for modernizing data integration and analytics platforms supporting multiple business units across financial services healthcare insurance and retail industries. Current initiatives include Enterprise data warehouse modernization to Snowflake and Azure Synapse Cloud-based ETL migration from legacy on-premises platforms Real-time data ingestion and analytics pipelines Customer 360 and Master Data Management initiatives Regulatory reporting and compliance data solutions Data Lake and Lakehouse architecture implementation Enterprise reporting platforms supporting executive dashboards and operational analytics High-volume data pipelines processing billions of records from ERP CRM HR and financial systems This is a hands-on engineering role where you will contribute to data architecture ETL development cloud migration performance optimization production support and continuous improvement of enterprise data integration solutions. How to Apply Would you like to know more about this opportunity? For immediate consideration please send your resume to Harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race color religion sex sexual orientation gender identity or expression national origin age genetic information disability veteran status or any other protected status as defined by applicable federal state or local laws. This commitment extends to all aspects of employment including recruitment hiring training compensation promotion transfer leaves of absence termination layoffs and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. A9LBQDPlrZ