Negotiable
Outside
Remote
USA
Summary: The Sr. Data Engineer role is a remote position requiring extensive experience in data engineering, particularly within the healthcare domain. The candidate must possess strong technical skills in various data processing technologies and cloud platforms. Responsibilities include building data ingestion and transformation pipelines, ensuring data governance, and working with cloud-native data platforms. The role emphasizes expertise in handling healthcare data formats and terminologies.
Key Responsibilities:
- 10+ years of experience in data engineering roles
- Strong hands-on experience with Python, PySpark, Spark SQL
- Expertise in processing EDI (837/835), HL7/CCDA, or FHIR bundles
- Proven ability to work with cloud-native data platforms (preferably Oracle Cloud Infrastructure (OCI))
- Experience building data ingestion and transformation pipelines at scale.
- Experience in building metadata driven data pipelines.
- Strong understanding of data lineage, auditability, and governance.
- Experience with building data pipeline Orchestrator.
- Experience with DataOps, Git, CI/CD pipelines, Terraform.
- Experience with Delta Lake, Parquet.
- Knowledge of data modeling, particularly healthcare CDMs
- Familiarity with clinical terminologies (LOINC, SNOMED, ICD, CPT, RXNORM)
Key Skills:
- XML, JSON, Spark, Scala, Healthcare Domain
- Python, PySpark, Spark SQL
- Cloud-native data platforms (preferably Oracle Cloud Infrastructure (OCI))
- Data ingestion and transformation pipelines
- Data lineage, auditability, and governance
- Data pipeline Orchestrator
- DataOps, Git, CI/CD pipelines, Terraform
- Delta Lake, Parquet
- Data modeling, healthcare CDMs
- Clinical terminologies (LOINC, SNOMED, ICD, CPT, RXNORM)
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Sr. Data Engineer
Location: Remote
Mandatory skills
XML, JSON, Spark, Scala, Healthcare Domain
Responsibilities: -
- 10+ years of experience in data engineering roles
- Strong hands-on experience with Python, PySpark, Spark SQL
- Expertise in processing EDI (837/835), HL7/CCDA, or FHIR bundles
- Proven ability to work with cloud-native data platforms (preferably Oracle Cloud Infrastructure (OCI))
- Experience building data ingestion and transformation pipelines at scale.
- Experience in building metadata driven data pipelines.
- Strong understanding of data lineage, auditability, and governance.
- Experience with building data pipeline Orchestrator.
- Experience with DataOps, Git, CI/CD pipelines, Terraform.
- Experience with Delta Lake, Parquet.
- knowledge of data modeling, particularly healthcare CDMs
- Familiarity with clinical terminologies (LOINC, SNOMED, ICD, CPT, RXNORM)
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.