Data Engineer

Company: Anivas Tech LLC

Location: Kettering, MD 20774 (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-14

About this role

Description:

Anivas Tech is seeking a Data Engineer to support our government agency IT operations. We are looking for a skilled professional with 7+ years of relevant experience who brings strong technical expertise and a commitment to delivering high-quality results in a mission-driven, high-visibility environment.

Requirements:

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes to support government agency data operations
  • Develop and optimize data models, schemas, and storage solutions using modern cloud and on-premise platforms
  • Collaborate with stakeholders and solution architects to define data requirements and translate them into technical designs
  • Ensure data quality, integrity, and availability by implementing validation, monitoring, and alerting frameworks
  • Support integration of disparate data sources, APIs, and third-party systems into a unified data ecosystem
  • Maintain data governance practices including cataloging, lineage tracking, and metadata management
  • Troubleshoot data pipeline failures and performance issues in production environments
  • Document technical designs, data flows, and operational runbooks in accordance with project standards
  • Work within Agile/SAFe delivery teams, participating in sprint planning, stand-ups, and retrospectives
  • Apply security best practices to protect sensitive government data in compliance with applicable regulations
  • US citizen with ability to obtain and maintain a Secret clearance
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; 5 additional years of relevant experience accepted in lieu of degree
  • 7+ years of hands-on experience in data engineering, including pipeline development and data architecture
  • Proficiency in SQL and at least one scripting/programming language (Python, Scala, or Java)
  • Experience with data integration tools and platforms (e.g., Apache Spark, Kafka, Airflow, or equivalent)
  • Familiarity with cloud platforms...

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