Title: Lead Data Engineering Manager Duration: 6+ Months Location: 100% Remote (USA) Position Summary: Client is looking for Data Engineering Managers. The role is 60% technical and 40% functional (product management) and needs: - Strong healthcare payer domain experience
- Good technical skills in Python, Spark, SQL, Big Data on AWS
- Product management experience in healthcare payer domain
Kindly refine your search and share some solid candidates as per the above requirements. Skill Matrix: Skills | Years of Exp | Year Last Used | Rating out of 10 | Python | | | | AWS (Cloud Data Platforms) | | | | SQL | | | | PySpark | | | | Healthcare Domain Expertise (EHR/EMR, HIPAA, HL7, FHIR) | | | | Position Details | Requirement | Role | Lead Data Engineering Manager | Location | Remote - Eastern | Type of Hire - Contract/ C2H | 6 Months Contract | Rate (Max) | c2c or w2 or 1099 | Duration | Long-term | In person interviews Yes/No | No | Client Interview Yes/No | Yes | Position requirements (Remote/ Hybrid/Fully onsite) | Remote | The ideal candidate will work closely with cross-functional Agile teams to deliver high-impact products that improve patient care, streamline provider workflows, and support compliance with healthcare regulations. Key Responsibilities: - Define and prioritize product backlog based on business and user needs.
- Mandatory experience in Big Data Handling on Cloud (Python, Spark, SQL)
- Collaborate with stakeholders to gather requirements and define product features.
- Lead Agile ceremonies and ensure timely delivery of product increments.
- Ensure solutions align with healthcare regulations (e.g., HIPAA, HL7, FHIR).
- Work with development, QA, and UX teams to deliver high-quality features.
- Monitor product performance and iterate based on user feedback.
Required Skills & Experience: - 10+ years of IT experience, 4+ years as a Data Product Lead.
- Strong knowledge of Agile/Scrum methodologies.
- Proven experience in healthcare domain (clinical systems, EHR/EMR, payer/provider platforms, etc.).
- Excellent communication, prioritization, and stakeholder management skills.
- Familiarity with healthcare data standards and regulatory requirements.
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