Data Engineer (Senior Consultant)

Posted 1 day ago Top Secret Unspecified Unspecified IT - Database Washington, DC (On-Site/Office) Data Engineer (Senior Consultant)

Location:

Remote; travel to Pax River as required (up to 20%)

Clearance:

DoD Top Secret Company Overview:

Our client provides government leaders with the expertise they need to navigate acquisition and organizational challenges so they can make an impact and achieve their goals. For over 30 years, they have transformed the way government does business, impacting over 70 government agencies across the civilian, defense, and intelligence communities. 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. We serve as a trusted adviser to government leaders seeking improved performance, enhanced organization effectiveness, and strategic change. Join Our Team - Data & AI | Navy PAE Job Description 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 Portfolio Acquisition Executive (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. This position focuses first on data readiness and reliability-turning fragmented, program-level data into trusted, structured, and tool-ready assets-while offering a clear path to grow into higher-order analytics and AI work. The Data Engineer acts as a trusted Technical Consultant, partnering directly with customers and leading ASI's data engineering efforts across a range of projects. Project Overview- Navy PAE As a DOW, agency wide initiative, The U.S. Navy is modernizing its acquisition enterprise by transitioning from traditional Program Executive Offices (PEOs) to a new, integrated Portfolio Acquisition Executive (PAE) structure. This shift streamlines how the Navy develops and delivers advanced capabilities-such as munitions, drones, and emerging technologies-to meet evolving warfighter needs. We are a key partner in the new DOW Transformation. ASI is supporting this transformation by helping the Navy stand up and operationalize the PAE construct, strengthening cross-program coordination, accelerating capability delivery, and building a more adaptive, modern acquisition workforce. Each project under this initiative is unique, reflecting the Navy's diverse and rapidly advancing mission areas. Key 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 Support Data Analysis by: Analyze portfolio-level acquisition and Industrial Base data to identify trends, risks, bottlenecks, and performance indicators Translate complex data findings into clear, concise briefings and decision memos Identify data gaps, inconsistencies, and analytic limitations; recommend improvements Conduct ad hoc analyses to support emerging leadership questions and urgent mission needs Validate analytical outputs to ensure accuracy, consistency, and mission relevance [HD1] [SS2] Practice Growth & Advanced Enablement (Progressive Scope) 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 Minimum Requirements DoD/DoW Top Secret;

TS/SCI HIGHLY

Preferred Bachelors Degree in Data Engineering, Data Science or related field Strong experience in data engineering, ETL ELT pipeline development Experience working with multi-source, program-submitted datasets 3+ years cleaning and normalize raw unstructured data in structured consistent structures and taxonomies. 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 Preferred Qualifications Masters or PhD in in Data Engineering, Data Science or related field 5 years in the Federal Tech space, either as a federal employee or contractor

Work Location & Schedule Primary Location:

Hybrid; travel to Pax River as required

Onsite Requirements:

Travel to Pax River, MD as required. At times up to 20%.

Desired Start Date:

ASAP group id: 10364120 N Name Hidden Apply now