Data Engineer, Senior Consultant

About the role

The Data Engineer will serve as a foundational member of a rapidly growing AI and Data practice, responsible for building trusted, structured, and analytics-ready datasets that power dashboards and AI-enabled decision support. The initial assignment supports the Navy PAE mission, leading mission and Industrial Base data enablement efforts. Over time, this role will expand to support dashboarding, analytics, and AI capabilities across the broader AI and Data practice.

Responsibilities

• Mission Data Enablement
• Identify, inventory, and map mission-critical data sources across Navy programs and stakeholders
• Ingest and consolidate Industrial Base and mission data across program offices
• Clean, normalize, and categorize raw data into consistent data structures and taxonomies
• Design and maintain repeatable data pipelines for updates and refresh cycles
• Define schemas, validation logic, and quality checks to produce trusted data
• Prepare datasets for ingestion into PAE tools and digital platforms
• Document sources, assumptions, and transformations for downstream use
• Practice Growth & Advanced Enablement
• Support dashboard and visualization development with analysts and product teams
• Prepare analytics-ready datasets for AI/ML solutions
• Contribute to shared data standards, reusable pipelines, and best practices
• Participate in solution design to ensure data architecture supports current and future analytics/AI use cases

Requirements

• Masters Degree in Data Engineering, Data Science or related field
• Strong experience in data engineering, ETL, and/or data integration
• Experience working with multi-source, program-submitted datasets
• 5-10 years of experience working with Data Platforms, Databases & Tooling, such as:
• Experience working in cloud environments (GCP, AWS, and/or Azure), including data storage, processing, and analytics services
• Hands-on experience with relational and analytical data platforms, such as PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake, Redshift
• Familiarity with NoSQL databases and semi-structured data stores (e.g., MongoDB, DynamoDB, Cassandra or equivalent)
• Experience with parallel or distributed data processing frameworks (e.g., Spark, PySpark)
• Proficiency with Git-based version control (e.g., GitHub) and building or supporting data pipelines
• Interest in expanding into dashboarding, analytics, and AI solutions
• Active Secret clearance
• Willingness to travel to Pax River, MD