We are looking for a Senior Data Engineer for a US-based healthcare technology company that is transforming primary care by automating workflows and unifying care teams to deliver person-centred, value-based care that radically improves patient outcomes.
Skills Required :
- Bachelor’s / Master’s in CS, Data Engineering, or related field
- 5+ years in cloud-native data engineering
- Proficiency in SQL , Python , Google Cloud Dataflow, Datastream or Airbyte, AWS Postgres, Google BigQuery , dbt / OBT
- Healthcare data standards (HL7, FHIR , X12, ICD, SNOMED)
- HIPAA-compliant data governance and observability
- Data modelling (star / snowflake schemas) and cloud-native AWS / GCP architectures.
Responsibilities :
Design scalable batch / streaming pipelines with Google Cloud and orchestration toolsDevelop ETL / ELT processes across AWS Postgres, FHIR Store, and BigQueryBuild unified healthcare data models integrating EHR, claims, CRM, and third-party dataImplement transformations via dbt / OBT for AI, BI, and predictive analyticsEnsure data quality, lineage, validation, and HIPAA complianceCollaborate with AI / ML, BI, and product teamsMonitor pipelines for performance, reliability, and cost efficiencyParticipate in architecture discussions, code reviews, and mentoringWorking model : 5 days from office in Pune
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