Data Engineer (2026-0179)

Acclaim Technical Services•Chantilly, VA

1d•$250,000 - $260,000

About The Position

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We’re looking for a Data Engineer who is passionate about building modern, scalable solutions for ingesting and transforming data. This role blends back-end engineering with data pipeline development and is perfect for someone who enjoys designing modular services and bringing structure to complex data environments. As part of our Agile team, you’ll design and develop software products and services that efficiently ingest, process, and manage data from a variety of sources. You’ll play a key role in building robust, reusable APIs and data pipelines that support critical operational and analytical systems.

Requirements

Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
At least five (5) years of related experience software engineering experience.
A current TS/SCI with polygraph is required.
Knowledge of NodeJS or Python
Strong understanding of APIs, microservices, and distributed systems.
Strong understanding of Large Language Models (LLMs) and using them to enrich data
Solid experience in building and maintaining ETL workflows and data pipelines.
Excellent organizational, coordination, interpersonal and team building skills.
Familiarization with NoSQL datastores.
Familiarization with MCP Servers and API management

Nice To Haves

NiFi experience
Experience with Flask Application Development
Experience with Claude Code, Codex, NemoClaw, Aider, Kiro, Gemini CLI, OpenCode or other AI harness.
Familiarity with Machine Learning Operations (MLOps)
Hands-on experience working with Elastic and RabbitMQ
NoSQL experience (i.e. MongoDB)
Cloud based and Distributed architecture creation or experience
Experience developing on the Amazon Web Services Cloud or other cloud provider.
Graph Databases (Janus/Cassandra).
Graph Query Languages.

Responsibilities

Design and develop scalable backend services and data ingestion solutions.
Perform data modeling, data mapping, and large-scale file manipulation.
Collaborate across disciplines in an Agile environment with minimal supervision.
Drive innovation and process improvement with a hands-on development approach.
Optimize application for maximum speed and scalability.