Negotiable
Outside
Remote
USA
Summary: The Snowflake Data Engineer role is focused on leading the design and implementation of enterprise-scale data warehouse solutions, particularly within the healthcare domain. The position requires a blend of technical leadership, solution design, and hands-on expertise in Snowflake and IBM data warehousing technologies. The ideal candidate will have extensive experience in payer and provider systems, ensuring compliance with healthcare regulations. This role also involves collaboration with business leaders and mentoring junior staff to drive effective data management practices.
Key Responsibilities:
- Design and implement enterprise-scale data warehouse solutions using Snowflake and IBM Netezza (NPS) for healthcare data processing and analytics.
- Develop secure, scalable, and HIPAA-compliant cloud-based architectures.
- Define best practices, frameworks, and governance for healthcare data integration, interoperability, and analytics.
- Architect solutions for payer and provider data management, including claims processing, eligibility verification, risk adjustment, and quality reporting.
- Design and optimize large-scale ETL/ELT pipelines using IBM DataStage and Snowflake for structured and unstructured healthcare data.
- Implement FHIR, HL7, EDI, HIPAA, and SOC2-compliant data architectures.
- Expertise in Snowflake's features like Snowpipe, Streams, Secure Data Sharing, and Data Cloning.
- Experience in cloud migration strategies (AWS, Azure, Google Cloud Platform) and performance tuning of cloud-based healthcare data platforms.
- Work closely with healthcare business leaders, product managers, and IT teams to translate complex business needs into scalable solutions.
- Lead technical discussions, architectural reviews, and strategic roadmaps for payer and provider data ecosystems.
- Mentor and guide junior architects, engineers, and data professionals in healthcare-specific data management best practices.
- Engage with healthcare clients, payers, providers, and IT teams as a trusted advisor to drive value-based care initiatives, population health analytics, and claims data modernization.
- Bridge communication gaps between business, compliance, and technical teams.
Key Skills:
- Deep expertise in Data Warehousing, Cloud Technologies, and Snowflake.
- Extensive experience in the Healthcare domain, particularly in Payer and Provider systems.
- Experience with IBM data warehousing technologies, including IBM NPS, IBM DataStage, and IBM Workload Scheduler.
- Strong understanding of payer-provider ecosystems, including claims, billing, member enrollment, care management, and EDI transactions.
- Technical certification in multiple technologies is desirable.
- Engineering Degree (BE/ME/BTech/MTech/BSc/MSc).
Salary (Rate): undetermined
City: New York
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Position: Snowflake Data Engineer
Remote
Experience: -10 Years
Job Summary: -
- We are seeking a Lead Data Engineer with deep expertise in Data Warehousing, Cloud Technologies, and Snowflake, along with extensive experience in the Healthcare domain, particularly in Payer and Provider systems.
- This role requires a combination of technical leadership, solution design, and hands-on expertise to develop scalable and compliant data architectures for enterprise healthcare solutions.
- Experience with IBM data warehousing technologies, including IBM NPS (Netezza Performance Server), IBM DataStage, and IBM Workload Scheduler (IWS) Jobs, is highly desirable.
Key Responsibilities:
- Solution Architecture & Design:
- Design and implement enterprise-scale data warehouse solutions using Snowflake and IBM Netezza (NPS) for healthcare data processing and analytics.
- Develop secure, scalable, and HIPAA-compliant cloud-based architectures.
- Define best practices, frameworks, and governance for healthcare data integration, interoperability, and analytics.
- Architect solutions for payer and provider data management, including claims processing, eligibility verification, risk adjustment, and quality reporting.
Healthcare Data & Cloud Technologies Expertise:
- Deep understanding of payer-provider ecosystems, including claims, billing, member enrollment, care management, and EDI transactions (837, 835, 270/271, etc.).
- Design and optimize large-scale ETL/ELT pipelines using IBM DataStage and Snowflake for structured and unstructured healthcare data.
- Implement FHIR, HL7, EDI, HIPAA, and SOC2-compliant data architectures.
- Expertise in Snowflake's features like Snowpipe, Streams, Secure Data Sharing, and Data Cloning.
- Experience in cloud migration strategies (AWS, Azure, Google Cloud Platform) and performance tuning of cloud-based healthcare data platforms.
- Experience with IBM Workload Scheduler (IWS) Jobs for automating and orchestrating healthcare data workflows.
Collaboration & Leadership:
- Work closely with healthcare business leaders, product managers, and IT teams to translate complex business needs into scalable solutions.
- Lead technical discussions, architectural reviews, and strategic roadmaps for payer and provider data ecosystems.
- Mentor and guide junior architects, engineers, and data professionals in healthcare-specific data management best practices.
Onsite Client Engagement:
- To engage with healthcare clients, payers, providers, and IT teams. Act as a trusted advisor to clients, driving value-based care initiatives, population health analytics, and claims data modernization.
- Bridge communication gaps between business, compliance, and technical teams.
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
PSRTEK is a reputed technology recruitment and IT staffing brand with a global footprint and an admired client base. As an ideas and innovation powerhouse with a culture of excellence, we bring remarkable expertise and deliver powerfully transformative results.