Data Engineer, Senior Consultant

ASI Government, Inc.

19h•Hybrid

About The Position

Do you thrive on creating unique and impactful value for Federal clients? Are you passionate about partnering with clients and collaborating to create solutions? Do you enjoy the opportunity to drive change that impacts our nation? We are looking for smart, curious, driven individuals to join us in partnering with our client to help them solve some of the nation’s most challenging problems. ASI Government serves as a trusted adviser to government leaders seeking improved performance, enhanced organization effectiveness, and strategic change. ASI is a key partner in this transformation. We are supporting the Navy in standing up and operationalizing the new Navy PAE construct—helping transition from legacy PEO organizations to highly integrated, portfolio‑driven acquisition teams. Our work aligns directly with the DoD-wide push to modernize how critical technologies and capabilities are acquired, tested, and deployed. 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.

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
Experience designing or supporting data lakes and object storage solutions (e.g., S3, Google Cloud Storage, Azure Data Lake)
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

Nice To Haves

PhD in in Data Engineering, Data Science or related field
Prior experience expanding corporate capabilities and developing Go-To-Market strategies for product and services.
5 years in the Federal Tech space, either as a federal employee or contractor
Experience supporting a CIO Office or similar technology executive office(s) and expanding, defining, building, and/or standing up new capabilities

Responsibilities

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
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