redhorsecorp - Graph Data Engineer

• 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. • 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. • The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. 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.