Data Engineer - Remote

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available 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 (state), West Virginia, Wisconsin, Wyoming Overview We are looking for a Data Engineer to support a modern data platform built on Databricks. This role will focus on building scalable data pipelines, supporting a metadata-driven ingestion framework, and ensuring data quality and governance are embedded into the platform. Key Responsibilities • Develop and maintain data pipelines using PySpark and Databricks • Work within a metadata-driven ingestion framework to onboard new datasets • Implement data quality checks and validation rules within pipelines • Support ingestion from file-based sources and ingestion tools (e.g., Fivetran) • Handle schema changes, incremental loads, and file processing patterns • Contribute to data governance practices including tagging, metadata, and lineage • Troubleshoot and resolve pipeline failures and performance issues • Collaborate with architects and stakeholders on data onboarding and requirements • Follow and contribute to coding standards, reusable components, and best practices Education • Experience in lieu of a Bachelor’s Degree • 3+ years of relevant experience with a degree • 5+ years of relevant experience without a degree Certification/Licensure • No specific certification or licensure requirements Experience • Required to 3 to 5 years of relevant experience • Hands-on experience with PySpark and Databricks • Strong SQL skills • Experience building ETL/ELT data pipelines • Understanding of Delta Lake concepts (merge, schema evolution, partitions) • Familiarity with cloud platforms (Azure preferred) • Basic experience with Git and version control • Exposure to data catalog or governance tools (e.g., DataHub) • Experience with Fivetran or similar ingestion tools • Understanding of data quality and validation concepts • Experience working with metadata-driven frameworks • Strong problem-solving and debugging skills • Ability to work in a structured, framework-driven environment • Focus on data quality, not just pipeline execution • Willingness to learn and adapt in a fast-evolving data ecosystem We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $80,204.80 - $133,681.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Keywords: Data Engineer, Azure, ACP, Azure Cloud Platform, Fivetran, metadata, PySpark, Databricks