Senior Data Engineer & Analytics Consultant (Hybrid)

EY; McLean (VA); Hybrid; USD 107,000 - 201,000; Full time

Benefits offered by this job

Comprehensive benefits

Hybrid work model

Flexible vacation

Job summary

EY is seeking a Senior Data Engineer (Senior Consultant) in a hybrid role in McLean, VA to build analytics and mission-support solutions that turn business requirements into dashboards and data products.

You will partner with client and civilian government stakeholders to unify and analyze data from multiple sources, strengthening operational effectiveness and decision-making. Expect data pipelines, quality controls, and reliable delivery of analysis-ready data products.

Qualifications

• Designing, developing, and maintaining enterprise data pipelines in cloud environments.
• Implementation of medallion architecture and automated ETL/ELT workflows.
• Integrating data from multiple authoritative systems to produce trusted data products.
• Data quality controls, lineage, monitoring, and operations for mission-critical datasets.

Responsibilities

• Support design, development, and deployment of data analytics, BI, and low-code solutions for a DoD client.
• Collaborate with client and government stakeholders to translate requirements into analytics, dashboards, and mission-support apps.
• Build scalable, robust data unification and analysis from multiple sources.

Skills

Data pipelines

Medallion architecture

ETL/ELT

APIs

Cloud data environments

Data quality controls

Data lineage & monitoring

Secret clearance

Bachelor’s degree

AI & Data

In-person collaboration

Education

Bachelor's degree

Tools

Palantir Foundry

Databricks

Maximo

iNFADs

EDW

Databricks/Jupiter

Job description

EY is seeking a Senior Data Engineer (Senior Consultant) in a hybrid role in McLean, VA to build analytics and mission-support solutions that turn business requirements into dashboards and data products.

You will partner with client and civilian government stakeholders to unify and analyze data from multiple sources, strengthening operational effectiveness and decision-making. Expect data pipelines, quality controls, and reliable delivery of analysis-ready data products.