Senior Data Engineer Job at Harnham, Palo Alto, CA

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  • Harnham
  • Palo Alto, CA

Job Description

Title: Senior/Staff Data Engineer

Location: Hybrid in Palo Alto - 3x per week

Role Overview:

Join a fast-growing healthcare AI startup revolutionizing data-driven decision-making in healthcare. We leverage cutting-edge machine learning and AI to optimize patient care, operational efficiency, and regulatory compliance. As a Senior Data Engineer , you will play a critical role in building and optimizing our ETL pipelines, ensuring seamless data integration, and maintaining compliance with healthcare data standards.

Responsibilities:

  • Design, develop, and optimize ETL pipelines to ingest, transform, and manage healthcare data at scale.
  • Ensure compliance with healthcare data regulations and standards (HIPAA, HITRUST, FHIR, CDA, HL7v2).
  • Develop and maintain data infrastructure using Azure cloud services , including Data Factory, Databricks, and Snowflake .
  • Implement CI/CD best practices for data engineering workflows, ensuring robust and automated deployments.
  • Utilize Infrastructure as Code (IaC) tools e.g. Terraform, Ansible, CloudFormation) to provision and manage cloud resources.

Qualifications:

  • 8+ years of experience in data engineering with a strong focus on ETL pipelining .
  • Strong programming skills in Python, Java, or Scala for data processing and automation.
  • Expertise with healthcare data formats and standards (FHIR, CDA, HL7v2, HITRUST, HIPAA).
  • Experience with Azure cloud services , including Data Factory, Databricks, and Snowflake .
  • Familiarity with ETL tools and big data frameworks for scalable processing.
  • Experience with CI/CD pipelines for data engineering.
  • Strong knowledge of Infrastructure as Code (IaC) using Terraform or similar tools.
  • Ability to work in a fast-paced startup environment and drive data engineering best practices .

Benefits:

  • Competitive salary and equity options .
  • Comprehensive healthcare benefits (medical, dental, vision).
  • Remote work flexibility with learning and development opportunities .
  • Collaborative and mission-driven team focused on transforming healthcare with AI .

All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to accomodate sponsorships at this time.

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