
Lead Data Engineer
C the Signs
full-time
Posted on:
Location Type: Hybrid
Location: Boston • Massachusetts, Wisconsin • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AirflowAmazon RedshiftAWSBigQueryCloudETLGoogle Cloud PlatformPythonSQL
About the role
- Lead design and evolution of our cloud-native data platform built primarily on Google Cloud Platform.
- Inform strategic decisions around multi-cloud or AWS interoperability when needed.
- Establish data engineering best practices, coding standards, and architectural patterns.
- Build scalable ETL/ELT pipelines using dbt and Airflow.
- Develop ingestion pipelines for clinical and administrative data.
- Implement streaming and batch dataflows using Pub/Sub, Dataflow.
- Ensure HIPAA compliance and proper handling of PHI/PII across all pipelines.
- Provide oversight and technical direction for multi-cloud data integrations.
Requirements
- - 7+ years of data engineering experience; 2–3+ years in a lead or senior technical role.
- - Deep, hands-on expertise in GCP, particularly:
- - BigQuery
- - GCP Healthcare API (FHIR and DICOM stores)
- - Cloud Storage, Pub/Sub, Cloud Run/Functions
- - Strong proficiency with:
- - dbt (Core or Cloud)
- - Airflow (Cloud Composer or self-managed)
- - Python and advanced SQL (BigQuery preferred)
- - Hands-on experience with healthcare standards:
- - FHIR (R4/US Core), HL7 v2/v3, DICOM, C-CDA, X12
- - Strong understanding of PHI handling, HIPAA compliance, and healthcare interoperability.
- Preferred
- - AWS experience, especially with:
- - Redshift, Lambda, S3, Glue, Kinesis, Athena, API Gateway, Step Functions
- - Experience building or maintaining multi-cloud pipelines bridging GCP and AWS.
- - Background with Dataflow/Beam or other stream processing frameworks.
- - Experience working with EHR integrations, claims processing, HIEs, or clinical data networks.
- - Familiarity with ML-enabled data pipelines or feature engineering in healthcare contexts.
Benefits
- **Benefits:**
- - Competitive salary and benefits package.
- - Flexible working arrangements (remote or hybrid options available).
- - The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
- - Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
- - Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTPythonSQLdbtAirflowBigQueryGCPAWS
Soft skills
leadershipstrategic decision makingtechnical directionoversight