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Remote, common Data Engineer title, and mid-level requirement increase applicant competition.
Healthcare HIPAA requirements and cloud data pipeline expertise limit transferability across non-health industries.
Multiple mandatory tools, HIPAA healthcare compliance, and 5+ years required increase shortlisting strictness.
Design, build, and maintain scalable data pipelines and architectures to support Denials AI workflow ensuring reliability and HIPAA compliance.
Collaborate with cross-functional teams to gather data requirements and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services.
Monitor pipeline performance, troubleshoot incidents, enforce data governance, and mentor junior engineers.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
5+ years of hands-on experience building and operating production-grade data pipelines.
Strong experience with workflow orchestration tools (Dagster), transformation frameworks (DBT), and AWS data services (Athena, Glue, SQS).
Knowledge of HIPAA compliance and handling Protected Health Information (PHI).
Experienced in healthcare data environments with established understanding of HIPAA standards and data governance.
Proficient in building optimized data pipelines, SQL tuning (PostgreSQL), and cloud-native AWS data services.
Able to lead technical efforts and mentor junior engineers while maintaining high operational standards and incident responsiveness.