Graph Data Engineer

Redhorse Corporation

Data Engineer supporting mission-critical workflows at Redhorse Corporation. Designing data ingestion and transformation pipelines for a knowledge graph analytics platform.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data ingestion and transformation pipelines, ensuring data quality and traceability for analytics. Proficient in ETL/ELT development and skilled in scripting and data processing frameworks to support operational efficiency.

Highest-signal resume keywords

ETL/ELT DevelopmentData Ingestion PipelinesData Quality HandlingPython ScriptingData Processing Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Transformation LogicData LineageData ProfilingData IntegrationGraph Solutions

Soft Skills

CollaborationDocumentation

Tools & Technologies

JiraGitLab

Industry Keywords

Data EngineeringStructured DataSemi-Structured DataAnalyticsKnowledge Graph

Tech Stack

Tools & technologies

ETLPython

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.