Improve the Veteran experience by delivering advanced analytics, AI, and data engineering solutions for the Department of Veterans Affairs (VA) through the Enterprise Measurement and Configuration Services (EMACS) program within the Veterans Experience Office (VEO).
Requirements
- Hands-on experience with Python/Spark programming, SQL, and developing ETL pipelines.
- Experience with Databricks and Azure cloud services (e.g., Synapse, ADF, DevOps).
- Knowledge of dimensional modeling (fact/dimension tables) and data integration best practices.
- Familiarity with GitHub, Agile development frameworks, and tools such as Jira.
- Experience with Power BI or similar analytics tools.
- Background in API or systems integration.
Responsibilities
- Develop data engineering pipelines to support ingestion, cleansing, integration, and conditioning of data for product development.
- Configure data analytics processes to load data from VA systems into the Customer Experience Insights (CXI) data warehouse.
- Collaborate with data scientists, analysts, and stewards to capture technical requirements and develop specifications.
- Deliver ad-hoc data reports and analysis based on client reporting needs.
- Create automated scripts for data extraction, transformation, and processing of large datasets into actionable insights.
- Support development of data analytics products using agile and hybrid methodologies.
Other
- The candidate must reside within the continental US.
- Ability to obtain and maintain a U.S. Public Trust clearance.
- Prior consulting or Federal Government experience (VA systems preferred).
- Healthcare IT experience is a plus.
- Strong communication, collaboration, and organizational skills.
