Graph Data Engineer

TL;DR

Graph Data Engineer: Designing and maintaining robust data ingestion and transformation pipelines for a mission-critical knowledge graph analytics platform with an accent on data lineage, quality, and integration. Focus on building scalable systems that support complex intelligence workflows and ensure high-availability of decision-making insights.

Location: Remote (US-based, requires ability to undergo government background investigation)

Company

hirify.global transforms government operations by integrating advanced data and technology into mission-critical intelligence workflows.

What you will do

• Design, build, and maintain robust data ingestion and transformation pipelines for graph analytics.
• Profile source data to assess structure, quality, and integration challenges.
• Implement complex normalization and preparation logic for graph solutions.
• Ensure source-to-graph traceability and data lineage for analytic transparency.
• Collaborate with data scientists to align processing with graph modeling requirements.
• Improve pipeline reliability and data quality handling for high-availability insights.

Requirements

• 5+ years of professional experience in data engineering.
• Proven ability to handle structured and semi-structured data at scale.
• Proficiency in Python and data processing frameworks.
• Experience with ETL/ELT development and large-scale data integration.
• Bachelor’s degree in a technical field.
• Must be eligible for a government security clearance/background investigation.

Nice to have

• Experience with graph platforms like Neo4j or GraphAware Hume.
• Familiarity with DataBricks or Apache Spark.
• Experience with CI/CD pipelines and automated testing.

Culture & Benefits

• Opportunity to work on mission-critical government intelligence technology.
• Collaborative environment working alongside graph data scientists.
• Focus on engineering practices that support real-world operational tradecraft.