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# Data Engineer (2026-0179)

- **Company:** Acclaim Technical Services
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $250,000 - $260,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Engineering, Extract Transform Load (ETL), Data Mapping, Query Languages, Distributed Systems, Graph Database, Python (Programming Language), MongoDB, Node.Js, NoSQL, RabbitMQ, Software Engineering, Janus, Data Ingestion, Flask (Web Framework), Large Language Models, Claude Code, Backend, Information Technology, Cassandra, Apache Nifi, Machine Learning Operations, Google Gemini, Network Server, Data Pipelines, Api Management, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.thejobnetwork.com/job/ca9829f5-de4e-428a-8e61-f35ac341a65e/data-engineer-

## About the Role

1. 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.
 2. At least five (5) years of related experience software engineering experience.
 3. A current TS/SCI with polygraph is required.

REQUIRED KNOWLEDGE/SKILLS

 1. Knowledge of NodeJS or Python
 2. Strong understanding of APIs, microservices, and distributed systems.
 3. Strong understanding of Large Language Models (LLMs) and using them to enrich data
 4. Solid experience in building and maintaining ETL workflows and data pipelines.
 5. Excellent organizational, coordination, interpersonal and team building skills.
 6. Familiarization with NoSQL datastores.
 7. Familiarization with MCP Servers and API management

DESIRED KNOWLEDGE/SKILLS

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

## Description

* 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.