Remote Lead Data Engineer - Enterprise Analytics

Mayo Clinic

Rochester (MN)

Hybrid

USD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical plan options
Dental and vision coverage
Pre-tax savings (HSA/FSAs)
Competitive retirement package

Job summary

Mayo Clinic in Rochester, Minnesota, seeks a Lead Data Engineer to advance the Enterprise Data & Analytics program, blending hands‑on data engineering with technical leadership, while offering remote work options. This role emphasizes designing production‑grade data pipelines, shaping platform capabilities, and guiding engineers through complex technical decisions.

Responsibilities include leading data pipeline design, driving automation, and mentoring engineers within an Agile/Safe framework to

Qualifications

  • Bachelor’s degree in Computer Science/Engineering or related field with 6+ years of experience.
  • Experience with full software development lifecycle and CI/CD practices.
  • At least 5 years in data engineering, data science, or analytics modeling.
  • Experience leading Data Engineering teams in CI/CD and building data products.

Responsibilities

  • Lead design, prototyping, and development of data pipeline architectures.
  • Automate processes, optimize data delivery, and redesign infrastructure for scalability.
  • Mentor engineers and contribute to production codebases with standards.
  • Collaborate across front-end, back-end, data, and platform engineers.

Skills

Python
SQL
Apache Spark
Airflow
Kubernetes
CI/CD

Education

Bachelor’s degree in Computer Science/Engineering or related field
Associate’s degree with 8+ years of experience

Tools

Jira
GitHub Actions
Azure Pipelines
Google Cloud Platform
BigQuery
FHIR APIs
Delta Lake
Apache Iceberg
Hudi
Docker
Kubernetes
Airflow

Job description

Mayo Clinic in Rochester, Minnesota, seeks a Lead Data Engineer to advance the Enterprise Data & Analytics program, blending hands‑on data engineering with technical leadership, while offering remote work options. This role emphasizes designing production‑grade data pipelines, shaping platform capabilities, and guiding engineers through complex technical decisions.

Responsibilities include leading data pipeline design, driving automation, and mentoring engineers within an Agile/Safe framework to

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