Graph Data Engineer
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About the role
Key Responsibilities
Design, build, and maintain robust data ingestion and transformation pipelines that supply the knowledge graph analytics platform.
Profile source data and assess structure, quality, completeness, and integration challenges.
Implement complex transformation, normalization, and preparation logic required to load data into graph solutions.
Support source-to-graph traceability and data lineage to ensure analytic transparency and rapid debugging.
Collaborate with the Lead Data Scientist and engineering peers to align source data processing with graph modeling and entity resolution requirements.
Continuously improve data quality handling and pipeline reliability to ensure high-availability of intelligence insights.
Document ingestion patterns, transformation rules, and technical considerations to support enterprise scaling.
Utilize Jira and GitLab to manage tasks and maintain version control across the development lifecycle.
Required Experience/Clearance
5+ years of relevant professional experience in data engineering or related technical roles.
Demonstrated experience in ETL/ELT development and large-scale data integration.
Proven ability to handle both structured and semi-structured data from multiple disparate source systems.
Experience designing transformation logic that supports downstream analytics, graph loading, and operational traceability.
Proficiency with scripting (e.g., Python), data processing frameworks, and production-minded engineering practices.
Bachelor’s degree from an accredited institution in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
Desired Experience
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
Experience supporting analytics, graph platforms (like Neo4j), or complex investigative data environments.
Familiarity with DataBricks or Apache Spark for large-scale data processing.
Knowledge of GraphAware Hume or other knowledge graph orchestration tools.
Experience with CI/CD pipelines and automated testing for data workflows.
Active security clearance or the ability to undergo a background investigation for government-related work.
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