Data Engineer: Scalable Data Pipelines & APIs

Acclaim Technical Services, Inc.

Chantilly (VA)

On-site

USD 156,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Healthcare
Wellness
Retirement
Education assistance
Time off

Job summary

Acclaim Technical Services, Inc. is seeking a Data Engineer to design and build scalable data ingestion and transformation solutions. You will craft robust APIs and data pipelines, working within an Agile team to support critical operations and analytics.

The ideal candidate has 5+ years in software engineering, strong API/microservice knowledge, and experience with ETL workflows, NoSQL stores, and data modeling to power complex environments. TS/SCI with polygraph is required.

Qualifications

  • Bachelor’s degree or equivalent in computer science, electrical/computer engineering or related technical discipline.
  • At least five (5) years of software engineering experience.
  • Current TS/SCI with polygraph is required.

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.

Skills

NodeJS
Python
APIs & microservices
LLMs
ETL pipelines
NoSQL datastores
MCP servers & API management

Education

Bachelor’s Degree in CS/EE or related

Job description

Acclaim Technical Services, Inc. is seeking a Data Engineer to design and build scalable data ingestion and transformation solutions. You will craft robust APIs and data pipelines, working within an Agile team to support critical operations and analytics.

The ideal candidate has 5+ years in software engineering, strong API/microservice knowledge, and experience with ETL workflows, NoSQL stores, and data modeling to power complex environments. TS/SCI with polygraph is required.

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