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Data Engineer

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BLN24

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Location:
United States , McLean

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Engineer will support the design, development, and optimization of modern data pipelines and cloud-based data platforms. This role involves building scalable ETL/ELT processes, integrating structured and unstructured data sources, and enabling secure, reliable data delivery for analytics, machine learning, and operational systems. This position plays a key role in federal data modernization efforts, which require high-performance data access, governance, and real-time processing capabilities.

Job Responsibility:

  • Design and implement robust ETL/ELT data pipelines using tools such as Apache Airflow, Spark, dbt, Kafka, or Databricks
  • Develop and optimize workflows that ingest, transform, and publish data from diverse sources into data lakes and data warehouses
  • Support batch and real-time data integration using scalable streaming frameworks and distributed processing engines
  • Manage infrastructure-as-code deployments and collaborate with DevOps teams to ensure data pipeline reliability, scalability, and security
  • Work closely with data scientists, analysts, and product teams to deliver data that supports BI dashboards, ML pipelines, and reporting
  • Apply best practices in data governance, schema versioning, and metadata management
  • Ensure systems are compliant with applicable data privacy regulations and security frameworks, including FISMA and Section 508
  • Document pipeline workflows, technical specifications, and data lineage to support auditability and transparency

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Minimum 3 years of experience in data engineering or backend data systems
  • Experience building and maintaining data pipelines using tools such as Apache Airflow, Spark, Kafka, Databricks, dbt, or Flink
  • Strong proficiency in SQL and one or more programming languages such as Python or Scala
  • Experience working with cloud-based data infrastructure (e.g., AWS, Azure, or GCP), including data lakes and data warehouses such as Delta Lake, Snowflake, BigQuery, or Redshift
  • Familiarity with containerization (Docker, Kubernetes), CI/CD workflows, and data version control systems such as DVC
  • Understanding of modern data architecture patterns including Lakehouse, event streaming, and batch processing models
  • Proven ability to lead data pipeline projects, mentor junior engineers, and collaborate across engineering and analytics teams

Nice to have:

  • Experience with real-time data processing and streaming analytics use cases
  • Knowledge of data cataloging, lineage tracking, and metadata management tools
  • Familiarity with data privacy and compliance frameworks (e.g., GDPR, HIPAA, IRS Publication 1075)
  • Experience collaborating with analytics, business intelligence, or ML engineering teams in production environments
  • Exposure to observability tools and practices to monitor pipeline health and data quality
  • Prior experience in a federal data engineering environment or regulated enterprise setting
What we offer:
  • Generous medical, dental, and vision plans
  • Opportunity to work in different sectors
  • Flexibility to balance quality work and personal lives
  • Remote working opportunities

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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