C the Signs

Lead Data Engineer

C the Signs

full-time

Posted on:

Location Type: Hybrid

Location: Boston • Massachusetts, Wisconsin • 🇺🇸 United States

Visit company website
AI Apply
Apply

Job 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