Engineer, Data

American Bureau of Shipping•Washington, DC

4d•Hybrid

About The Position

ABS Group is seeking a Data Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, build, and optimize data pipelines and data platforms that support secure, scalable collection, integration, and analysis of mission data. You will help enable high-volume data processing, support modern data architectures, and provide the technical foundation needed for advanced analytics, reporting, and AI/ML solutions. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field, or equivalent practical experience
Relevant professional experience in data engineering, data integration, pipeline development, or related roles; the depth and scope of experience required will vary based on the level at which this position is filled
Proficiency in Python and SQL
Familiarity with ETL/ELT, data integration, and pipeline development
Familiarity with data lakes, lakehouses, data warehouses, and modern data platform patterns
Working knowledge of schema design, data modeling, and database optimization
Familiarity with orchestration and transformation tools used in modern data engineering environments
Strong collaboration and documentation skills

Nice To Haves

Experience designing and supporting data processing workflows in professional environments preferred
Experience working in cloud, hybrid, or enterprise data environments preferred
Exposure to large-scale or high-throughput data processing environments a plus
Experience in a federal, public sector, statistical, or regulated data environment
Familiarity with demographic, geographic, or survey-related datasets
Exposure to graph-based data structures or knowledge graph use cases
Experience with secure cloud data platforms

Responsibilities

Design, build, optimize, and maintain data pipelines and integration workflows
Develop ETL and ELT processes to ingest, transform, validate, and load data from multiple sources
Support modern data platforms including data lakes, lakehouses, warehouses, marts, and related architectures
Help enable high-volume and high-velocity data processing for mission and operational needs
Partner with data scientists, data architects, and analysts to support analytics-ready datasets and reusable data assets
Implement data structures and data models aligned to business and technical requirements
Support data quality, metadata, lineage, and governance objectives through strong engineering practices
Contribute to cloud-based and hybrid data modernization efforts
Produce technical documentation and delivery artifacts required for project execution