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Mosaic Health

Senior IT Data Engineer

Mosaic Health Chula Vista, California, United States · $103K–$155K/yr

Hospitals and Health Care · 5,001-10,000 employees

Yesterday
Remote data-engineer Senior (5-10 yrs) Full-time United States
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About the role

Design and build scalable data pipelines, ETL/ELT processes, and data models to support analytics and operational needs. Lead data engineering workstreams from requirements through production deployment while mentoring junior team members.

What they look for

Data Engineering SQL Python ETL/ELT Data Modeling Data Pipelines Cloud Data Platforms Dbt Azure Data Factory Airflow Informatica Dimensional Design Data Vault Medallion Architecture Platform Architecture Technical Leadership

Requirements

Requires a bachelor's degree and 4-6 years of experience in data engineering. Candidates must possess advanced SQL proficiency, strong Python skills, and experience with cloud data platforms and pipeline tools.

Full description

Job Description Summary

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Designs and develops enterprise data pipelines, data models, and platform integrations that support analytics, clinical, and operational use cases at the organization. Leads data engineering workstreams independently, contributes to platform architecture, and serves as a technical resource on complex data challenges.

The Senior IT Data Engineer works independently on enterprise-impact projects with limited supervision. Decisions impact project- and program-level outcomes. This job sets direction on methods and approach within the IT data engineering domain and influences policies and procedures within the function, applying advanced subject-matter expertise to problems that span teams and processes.‎ 

How will you make an impact & Requirements

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KEY RESPONSIBILITIES

  • Design and build scalable data pipelines, ETL/ELT processes, and data models that serve analytics, clinical, and operational consumers.
  • Lead data engineering workstreams from requirements through production deployment, managing technical quality and delivery milestones.
  • Develop and optimize SQL, Python, and pipeline code to ensure performance, reliability, and maintainability at scale.
  • Contribute to data platform architecture decisions including storage design, processing patterns, and tooling selection.
  • Identify data quality issues and partner with source system owners to drive resolution and preventive improvements.
  • Establish engineering standards for pipeline development, testing, documentation, and version control.
  • Mentor junior data engineers and contribute to capability development across the team.

QUALIFICATIONS

  • Bachelor's degree required; 4-6 years of data engineering experience.
  • Advanced SQL proficiency and strong Python skills for data pipeline development.
  • Deep experience with data pipeline tools (e.g., dbt, Azure Data Factory, Airflow, Informatica) and cloud data platforms.
  • Experience with data modeling including dimensional design, data vault, or medallion architecture patterns.
  • Demonstrated ability to manage data engineering projects independently.
  • Professional-level cloud or data engineering certification preferred.

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Compensation Range:

$103,043.00to

$154,563.00 

The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.

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