| Location | Piscataway, NJ |
Job Responsibilities
Design modern data architectures on Databricks, Snowflake, and Microsoft Fabric.
Lead end-to-end data ingestion, transformation, and modeling using SQL, Spark, and Python.
Support healthcare data domains: claims, eligibility, provider, member, clinical data.
Working knowledge of various governance patterns: lineage, catalog.
Contribute to pre-sales through RFP responses, estimations, architecture diagrams, and proposals.
Required Skills
Strong hands-on experience with Databricks (Spark/Delta), Snowflake, or Microsoft Fabric.
Cloud experience atleast with one of the major providers Azure / AWS/GCP. Preferably GCP
Strong SQL, PySpark/Python, and data modeling (dimensional, lakehouse).
Working experience in at least one healthcare data domain: claims, provider, eligibility, utilization, or clinical data.
Solid understanding of data governance, security, HIPAA, PHI/PII compliance.
Ability to lead client conversations and explain architectural trade-offs clearly.
Exposure to FHIR/HL7, interoperability, and payer/provider workflows .
Good to have skills
Must have implemented data products on a Lakehouse either in a data mesh or data fabric construct in a production environment
Must have utilized AI tools for data engineering and data analytics use cases like data copilot, AI/BI etc.
Must have experience in managing implementation life cycle from discovery through hyper care, transient and steady state data ops, and optimization
Ability to participate and advise clients on well architected framework together with partners like databricks, snowflake etc.
Strong understanding and implementation experience of production like synthetic data sets in non-production environments to facilitate functional and integration tests
Exposure to leading healthcare source systems like Pega, EHR, Salesforce health cloud and common information Data Model
Exposure to managing and processing unstructured data sets in healthcare to derive meaningful insights and enhance experience