Data Engineer (2026-0179)

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.

KEY 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.

QUALIFICATIONS• 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.

REQUIRED KNOWLEDGE/SKILLS• 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

DESIRED KNOWLEDGE/SKILLS• 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.

  At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources. 

The proposed salary range for this position is: $250,000-260,000.

 SALARY TRANSPARANCY

There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.

At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources

EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT

ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.