Principal Data Engineering - Remote

Experteer Overview As a Principal Data Engineer, you will lead the architectural design and implementation of scalable enterprise data solutions within the Chief Data Office. You’ll partner with product owners, stakeholders, and analytics teams to build end-to-end data pipelines across staging, integration, and consumption layers using Azure Data Factory, Snowflake, DBT, and Python. You’ll mentor engineers, promote engineering best practices, and drive continuous technical innovation while leveraging approved AI tools to boost productivity. The role offers remote work flexibility and a chance to impact health outcomes at scale. You will shape data strategy and collaborate across cross-functional teams to turn褥 Compensation / Benefits * Translate data product and reporting requirements into scalable data engineering solutions * Design, develop, and maintain end-to-end data pipelines across staging, integration, and consumption layers * Develop and optimize high-performance SQL queries, views, and stored procedures for analytics * Architect and support data integration processes including batch ingestion and automated extracts * Mentor associates on data engineering best practices, Snowflake optimization, and pipeline design * Create and maintain detailed technical documentation (data mappings, file specs, runbooks) * Monitor and improve data quality, processes, and operational efficiency * Support onboarding of new data sources and secure data transfers * Communicate complex concepts to technical and leadership audiences * Foster a collaborative, inclusive team environment * Utilize AI tools to automate tasks and boost engineering productivity Tasks * Bachelor’s degree or 12+ years of equivalent work experience * 12+ years of hands-on data engineering, with focus on data warehousing and ETL architectures * 8+ years of ETL development using Azure Data Factory and/or Snowflake * 8+ years of experience with Snowflake including stored procedures and utilities * 8+ years of GitHub version control and CI/CD * 8+ years of Python for data processing * 5+ years of designing/consuming REST APIs within Snowflake or ADF workflows * 5+ years of scripting on Azure (Batch, PowerShell) * 5+ years of handling structured and semi-structured data * 5+ years of React front-end development for visualizations Key requirements * comprehensive benefits package * equity stock purchase * 401k contribution * remote work flexibility

views, and stored procedures for analytics * Architect and support data integration processes including batch ingestion and automated extracts * Mentor associates on data engineering best practices, Snowflake optimization, and pipeline design * Create and maintain detailed technical documentation (data mappings, file specs, runbooks) * Monitor and improve data quality, processes, and operational efficiency * Support onboarding of new data sources and secure data transfers * Communicate complex concepts to technical and leadership audiences * Foster a collaborative, inclusive team environment * Utilize AI tools to automate tasks and boost engineering productivity Tasks * Bachelor’s degree or 12+ years of equivalent work experience * 12+ years of hands-on data engineering, with focus on data warehousing and ETL architectures * 8+ years of ETL development using Azure Data Factory and/or Snowflake * 8+ years of experience with Snowflake including stored procedures and utilities * 8+ years of GitHub version control and CI/CD * 8+ years of Python for data processing * 5+ years of designing/consuming REST APIs within Snowflake or ADF workflows * 5+ years of scripting on Azure (Batch, PowerShell) * 5+ years of handling structured and semi-structured data * 5+ years of React front-end development for visualizations Key requirements * comprehensive benefits package * equity stock purchase * 401k contribution * remote work flexibility