Data Engineer

Sentara Hospitals is hiring a fully remote Data Engineer to help build and scale a modern data platform on Databricks. This role emphasizes data quality, governance, and reliable ingestion, so your work contributes directly to trusted data for stakeholders. Enjoy a schedule in first (days) shift and benefits designed to support both your life and growth.

What you’ll get

• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to $10,000
• 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 of $5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down of $10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues may earn an annual discretionary bonus if established system and employee eligibility criteria are met

Responsibilities

• Develop and maintain data pipelines using PySpark and Databricks
• Use a metadata-driven ingestion framework to onboard new datasets
• Embed data quality checks and validation rules within pipelines
• Support ingestion from file-based sources and tools such as Fivetran
• Manage 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

Required qualifications

• 3 to 5 years of relevant experience (required)
• Experience in lieu of a Bachelor’s Degree
• Hands-on experience with PySpark and Databricks
• Strong SQL skills
• Experience building ETL/ELT data pipelines
• Understanding of Delta Lake concepts including merge, schema evolution, and partitions
• Familiarity with cloud platforms, with Azure preferred
• Basic experience with Git and version control
• Exposure to data catalog or governance tools such as 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 only pipeline execution
• Willingness to learn and adapt in a fast-evolving data ecosystem

Location: Virginia Beach, VA (fully remote). Remote opportunities available in: 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.

Salary range: USD 80,204 - 133,681 per year.

Technologies: PySpark, Databricks, Fivetran, SQL, Delta Lake, Azure, Git, DataHub.