Join EY as a Senior Data Engineer (Senior Consultant) supporting a DoD client. This hybrid role in McLean, VA focuses on building analytics and mission-support solutions that turn business requirements into dashboards, automated workflows, and low-code applications, while delivering scalable and reliable enterprise data capabilities.
You will partner with client and civilian government stakeholders to unify and analyze data from multiple sources, strengthening operational effectiveness, transparency, and decision-making. If you value engineering work tied to real-world impact, this position centers your expertise on data pipelines, data quality, and dependable delivery of analysis-ready data products.
Responsibilities
- Support a DoD client with the design, development, and deployment of data analytics, business intelligence, workflow automation, and low-code application solutions.
- Collaborate directly with client and civilian government stakeholders to convert business requirements into actionable analytics, dashboards, and mission-support applications.
- Build scalable, robust solutions to unify, enrich, and analyze data from multiple sources.
Requirements
- Experience designing, developing, and maintaining enterprise data pipelines in modern cloud data environments, including implementation of medallion architecture (Bronze, Silver, Gold) and automated ETL/ELT workflows.
- Experience integrating data from multiple authoritative systems and enterprise platforms (for example, Maximo, iNFADs, EDW, Databricks/Jupiter) using APIs, automated ingestion patterns, and data transformation frameworks to create trusted, analysis-ready data products.
- Experience implementing data quality controls, lineage, monitoring, alerting, and operational support processes to improve traceability, governance, and reliability of mission-critical datasets.
- Must be eligible to obtain and maintain a Secret Clearance.
- Must have a bachelor’s degree.
- 3-5 years of related experience within AI & Data.
- Comfortable working in-person as needed.
- Data quality control experience, including lineage, monitoring, alerting, and operational support processes.
Technologies
- Medallion architecture (Bronze, Silver, Gold)
- ETL/ELT
- APIs
- Maximo
- iNFADs
- EDW
- Databricks/Jupiter
- Power Platform and Power Platform-based solutions
- Palantir Foundry
- Databricks
Benefits
- Comprehensive compensation and benefits, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Hybrid work model expectation for most external, client-serving roles to work together in person 40-60% of the time over the course of an engagement, project, or year.
- Flexible vacation policy to decide how much vacation time you need based on personal circumstances, plus time off for EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
Ideally, you’ll also have
- Experience with Palantir Foundry, including data integration, ontology enablement, data materialization, and supporting the movement of curated data products into Foundry operational environments.
- Experience with Databricks, including pipeline orchestration, data engineering best practices, and integration of Databricks outputs with downstream analytics and decision-support platforms.
Note on work location and travel: Due to the nature of government and public sector work, work may be required at the client, EY, and/or CON. Candidates should be willing to travel 20–30% or more.
Compensation: USD 106,900 - 200,600 per year.
