Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Performing data engineering associated with synchronizing new and existing systems for DIA with an accent on database pipelines and schemas for a multimillion-dollar program. Focus on writing and maintaining ETL code, enhancing the ETL platform, and developing comprehensive documentation.

Location: Hybrid (Herndon, Virginia)

Company

hirify.global is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Collaborate with a team of developers to meet data integration requirements by writing and maintaining ETL code.
• Interface with external teams and systems using protocols such as HTML to efficiently collect and process data.
• Enhance the ETL platform by developing features to streamline and accelerate future data integration efforts.
• Develop and maintain software, validate data ingest processes, and create comprehensive documentation of system architecture, development, and enhancements.

Requirements

• Bachelor’s degree with 12+ years of relevant experience OR a Master’s degree with 7 years of relevant experience OR a PhD with 4 years of relevant experience; an additional 4 years of experience may be considered in lieu of the degree requirement.
• Clearance: must maintain an active TS/SCI (with CI Poly preferred)
• Experience with PostgreSQL, Python, Java or Scala.
• Understanding the concepts of data lake, data warehousing including Extract, Transform, Load (ETL) processes and data modeling is essential. Familiarity with cloud-based storage and computing platforms such as Azure, and AWS.
• Must have Neo4J and Anzograph experience.
• Proficiency in version control systems such as Git and understanding the concepts of branching, merging, and tagging is essential.