Job
Description
As a Senior Data Engineer for a US-based healthcare technology company, your role will involve transforming primary care by automating workflows and unifying care teams to deliver person-centered, value-based care that radically improves patient outcomes. **Key Responsibilities:** - Design scalable batch/streaming pipelines with Google Cloud and orchestration tools - Develop ETL/ELT processes across AWS Postgres, FHIR Store, and BigQuery - Build unified healthcare data models integrating EHR, claims, CRM, and third-party data - Implement transformations via dbt/OBT for AI, BI, and predictive analytics - Ensure data quality, lineage, validation, and HIPAA compliance - Collaborate with AI/ML, BI, and product teams - Monitor pipelines for performance, reliability, and cost efficiency - Participate in architecture discussions, code reviews, and mentoring **Qualifications Required:** - Bachelors/Masters 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 If you are looking for a challenging opportunity to leverage your data engineering skills in the healthcare technology sector, this position might be the right fit for you. The company is dedicated to revolutionizing primary care through innovative data solutions, offering a dynamic work environment with opportunities for professional growth and development. Please submit your latest resume to apply for this role. As a Senior Data Engineer for a US-based healthcare technology company, your role will involve transforming primary care by automating workflows and unifying care teams to deliver person-centered, value-based care that radically improves patient outcomes. **Key Responsibilities:** - Design scalable batch/streaming pipelines with Google Cloud and orchestration tools - Develop ETL/ELT processes across AWS Postgres, FHIR Store, and BigQuery - Build unified healthcare data models integrating EHR, claims, CRM, and third-party data - Implement transformations via dbt/OBT for AI, BI, and predictive analytics - Ensure data quality, lineage, validation, and HIPAA compliance - Collaborate with AI/ML, BI, and product teams - Monitor pipelines for performance, reliability, and cost efficiency - Participate in architecture discussions, code reviews, and mentoring **Qualifications Required:** - Bachelors/Masters 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 If you are looking for a challenging opportunity to leverage your data engineering skills in the healthcare technology sector, this position might be the right fit for you. The company is dedicated to revolutionizing primary care through innovative data solutions, offering a dynamic work environment with opportunities for professional growth and development. Please submit your latest resume to apply for this role.
