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Remote, mid-level cloud/data engineer role with broad skillset attracts many qualified applicants.
Healthcare-specific protocols (HL7, FHIR) and EMPI needs reduce cross-industry transferability.
Explicit years, required cloud/data technologies, and healthcare compliance increase screening rigor.
Design, build, and operate cloud-native data pipelines processing clinical and operational healthcare data at scale.
Modernize and transform legacy healthcare integrations into secure, scalable, event-driven and API-based data platform components.
Ensure production reliability with monitoring, alerting, data lineage, security, and compliance adherence in a healthcare environment.
5+ years data engineering experience; at least 2 years building cloud-native solutions on AWS, Azure, or GCP.
Strong Python, SQL skills plus distributed data processing experience with Apache Spark or Databricks.
Experience with cloud storage/lakehouse technologies (e.g. S3, ADLS, Delta Lake) and modern data warehouses (Snowflake, Redshift, BigQuery).
Familiarity with healthcare data standards such as HL7, FHIR, X12/EDI is required.
Experienced in designing scalable batch and streaming data pipelines using tools like Airflow and dbt within cloud platforms.
Skilled in improving data quality, master data management, and operating production data platforms with strong governance and security controls.
Comfortable working cross-functionally with architecture, data governance, QA, and product teams to deliver compliant healthcare data solutions.