Senior Data Engineer

Tasks

• Leads the adoption or implementation of an advanced technology or platform.
• Expert on the functionality or usage of a particular system, platform, or technology product.
• Serves as a consultant to clients, guiding the efficient use or adoption of a particular IT product or platform.
• Creates implementation, testing, and/or integration plans.
• Demonstrates expertise in a particular IT platform or service, allowing for maximum IT investment.

Requirements

• Maintaining SQL Server (SSIS/SSAS/SSRS) while concurrently deploying Azure cloud solutions.
• Expert-level proficiency in SSIS and T-SQL. Advanced proficiency in Azure Databricks (Unity Catalog, Delta Lake) and Azure Synapse.
• Deep experience with TFS (Team Foundation Server) and a strong desire to migrate workflows to Git/Azure DevOps.
• Mastery of SQL and Python (PySpark).
• 6-10 yrs. leading advanced technology projects or service projects
• 6-10 yrs. full system engineering lifecycle
• Bachelor’s degree
• Preferred: Experience with Microsoft Purview for data cataloging.
• Preferred: Extensive experience with Medicaid/Medicare data structures (e.g., MMIS, EDI 837/835, claims processing).
• Preferred: Microsoft Certified: Azure Data Engineer Associate or Databricks Certified Professional Data Engineer.
• Preferred: Experience in a government or highly regulated environment.

Schedule

• Long-Term
• Hybrid

How to apply

• Send your updated resume by email.

Location

• Washington, DC