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Graph Data Engineer
Redhorse CorporationData Engineer supporting mission-critical workflows at Redhorse Corporation. Designing data ingestion and transformation pipelines for a knowledge graph analytics platform.
Tech Stack
Tools & technologiesETLPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Transformation LogicData LineageData ProfilingData IntegrationGraph Solutions
Soft Skills
CollaborationDocumentation