Data Engineer

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806

Duties

• Architects, develops, tests, and maintains scalable data pipelines to ingest structured and unstructured data from disparate DLA, DoD, and commercial sources using complex ETL/ELT processes.
• Develops resilient batch and real-time data solutions using Python, Scala, or Java, and frameworks like Apache Spark and Airflow for strategic reporting and operational AI model serving.
• Implements CI/CD practices for automated testing and deployment, troubleshooting pipeline executions to optimize performance, integrity, and cost-effectiveness for DLA systems.
• Leads the design and administration of data warehouse and data lake structures, implementing dimensional and data vault models to support business intelligence and AI/ML use cases.
• Administers and optimizes cloud data warehouses such as Snowflake, Redshift, or BigQuery, managing partitioning, indexing, and clustering strategies for high-performance analytics.
• Enforces data governance, data quality, and enterprise data catalogs, collaborating with security teams to apply access controls, encryption, and data masking for CUI and Secret data.
• Serves as principal technical advisor for the AI and Analytics CoE, translating data requirements from data scientists, ML engineers, and analysts into technical specifications for logistics systems.
• Provides guidance on data architecture best practices, mentors junior technical staff, establishes coding standards, and conducts peer reviews for data engineering projects.
• Communicates complex technical concepts regarding data architecture and pipeline design to non-technical stakeholders and senior leadership to guide strategic organizational decisions.
• Researches, evaluates, and prototypes emerging data technologies and architectural patterns, conducting technical assessments and proofs-of-concept for cloud services and processing engines.
• Leads technical planning and migration strategies to modernize legacy systems, transitioning data workloads to cloud-native platforms while maintaining expertise in industry trends.

Requirements

• Must be a U.S. citizen
• Tour of Duty: Set Schedule
• Security Requirements: Non-Critical Sensitive with Secret Access
• Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal.
• Fair Labor Standards Act (FLSA): Exempt
• Selective Service Requirement: Males born after must be registered or exempt from Selective Service.
• Recruitment Incentives: Not Authorized
• Bargaining Unit Status: No
• Pre-Employment Physical: Not Required
• Selectees are required to have a REAL ID or other acceptable identification documents to access certain federal facilities. See for more information.