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Metrostar Systems Logo

Sr. Data Engineer II (6076)

Metrostar Systems

$152,000 - $223,000
Sep 15, 2025
Tysons, VA, US
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Design and ingest data from different Object Management Systems that support mission operations for a classified customer.

Requirements

  • 5+ years of experience in Data/ML engineering
  • Strong Experience with ETL, data labeling, and data preparation
  • 5+ years experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka
  • Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
  • Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
  • operationalizing and maintaining AI/ML models in production.
  • Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders

Responsibilities

  • Work with AI team members to operationalize data pipelines and ML tasks.
  • Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities.
  • Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
  • Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.
  • designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
  • designing, implementing, and maintaining data architecture and services to be used for AI/ML.
  • operationalizing and maintaining AI/ML models in production.

Other

  • Minimum 7 years experience
  • Must be a U.S. citizen with the ability to obtain and maintain a TS/SCI security clearance with CI Polygraph
  • Present results to a diverse audience in presentation or report form.
  • The candidate's professional background and relevant work experience
  • The specific responsibilities of the role and organizational needs