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Data Engineer with Security Clearance

VTGChantilly, VA🇺🇸United States

Why this role stands out

This hybrid Data Engineer role offers a fantastic opportunity to leverage your expertise in designing and building scalable data pipelines within a respected technology company, contributing to critical data solutions. You'll thrive here if you possess strong SQL, ETL/ELT, and cloud platform skills, and are eager to grow your career in a collaborative environment. Apply today to join an impactful team and advance your data engineering journey!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationChantilly, VA, United States
GCPMySQLSQLScalaAWSETLSnowflakeAirflowApacheBigQueryData PipelineHadoopJavaPythonRedshiftAzurePostgreSQLSQL Server

Job description

Overview VTG is seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making. What will you do?

  • Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
  • Build and optimize data architectures, including data lakes, data warehouses, and data marts
  • Ingest, process, and transform large volumes of structured and unstructured data
  • Ensure data quality, integrity, and reliability across systems
  • Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
  • Implement data governance, security, and compliance best practices
  • Optimize data storage, query performance, and cost efficiency in cloud environments
  • Monitor and troubleshoot data pipeline performance and failures
  • Maintain documentation for data flows, systems, and processes Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor's degree in computer science, Software Engineering, or related field.
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
  • Experience with cloud data platforms (AWS, Azure, or GCP)
  • Proficiency in programming languages such as Python, Scala, or Java
  • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  • Strong understanding of data modeling concepts (star/snowflake schemas)

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