Data Engineer

Trideum Corporation•Fort Belvoir, VA
•Onsite

About The Position

Trideum Corporation is seeking a highly motivated Data Engineer to support a government customer at the Army’s DEVCOM C5ISR Research Technology Integration Directorate. The role is based on-site at Fort Belvoir, Virginia, with occasional telework permitted only after coordination with the government customer and senior site lead. The position focuses on ensuring data availability, quality, and reliability by designing, building, and maintaining data pipelines and digital infrastructure that support data-informed decisions. The Data Engineer will collaborate with systems engineers, software developers, analysts, and other cross-functional teams. Occasional travel of less than 10% is required.

Requirements

  • Bachelor’s degree in Data Science, Mathematics, Statistics, Systems Engineering, Computer Science, or a related field, or an equivalent combination of education, professional training, and work experience.
  • At least 3 years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
  • At least 2 years of experience creating software to retrieve, parse, and process structured and unstructured data.
  • Experience building scalable ETL and ELT workflows for reporting and analytics.
  • Knowledge of SQL and NoSQL databases.
  • Familiarity with data integration and orchestration tools such as Apache Airflow, Talend, or Informatica.
  • Understanding of best practices for data governance, data security, and compliance.
  • Excellent problem-solving and communication skills.
  • Ability to work collaboratively in cross-functional teams.
  • U.S. citizenship required.
  • Active Secret security clearance required.

Nice To Haves

  • Master’s degree in a related field.
  • Experience with U.S. Military analysis and reporting.
  • Experience with U.S. Military simulations such as OneSAF.
  • Proficiency in data modeling, data warehousing, and ETL processes.
  • Experience with cloud platforms such as AWS, Azure, or GCP and related services such as S3, Redshift, or BigQuery.

Responsibilities

  • Design, develop, and maintain scalable, efficient data pipelines that collect, process, and transform data from disparate sources into usable formats, including simulation data from before, during, and after exercises.
  • Collaborate with systems engineers, software developers, and analysts to understand data requirements and implement transformations that enable analytics and reporting.
  • Set up, deploy, and maintain data infrastructure, including databases, ETL processes, and available cloud resources.
  • Implement data quality checks, validation processes, and monitoring to ensure data accuracy and reliability.
  • Optimize data processes for performance, scalability, and cost-effectiveness.
  • Follow and employ industry best practices, emerging technologies, and trends in data engineering, data science, and analytics.
  • Travel occasionally, less than 10%.

Benefits

  • Competitive compensation.
  • Medical, dental, vision, life, and disability benefits.
  • 401(k) matching.
  • Paid leave and the ability to cash out leave.
  • Free access to certified financial planners, wellness and support services, and discount programs.
  • Education assistance and professional development opportunities.
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