Senior IT Data Engineer

Mosaic Health

. Design and build scalable data pipelines, ETL/ELT processes, and data models for analytics, clinical, and operational consumers .

Posted 9/15/2026full-timeRemote • California • United StatesSenior💰 $103,043 - $154,563 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data pipelines and ETL/ELT processes, with a strong focus on SQL and Python for performance optimization. Capable of leading data engineering projects independently while mentoring junior engineers and establishing engineering standards.

Highest-signal resume keywords

Advanced SQL ProficiencyStrong Python SkillsData Pipeline Tools (dbt, Azure Data Factory, Airflow, Informatica)Data Modeling (Dimensional Design, Data Vault, Medallion Architecture)Cloud Data Platforms Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL/ELT ProcessesData ModelingSQLPythonData Quality ManagementPerformance OptimizationVersion ControlDocumentationTesting

Soft Skills

MentoringIndependent WorkProblem SolvingCollaboration

Tools & Technologies

DbtAzure Data FactoryAirflowInformaticaCloud Platforms

Certifications & Qualifications

Professional-Level Cloud CertificationData Engineering Certification

Industry Keywords

Data EngineeringData PipelinesAnalyticsClinical DataOperational Data

Tech Stack

Tools & technologies

AirflowAzureCloudETLInformaticaPythonSQLVault

About the role

Key responsibilities & impact

Design and build scalable data pipelines, ETL/ELT processes, and data models for analytics, clinical, and operational consumers
Lead data engineering workstreams from requirements through production deployment
Manage technical quality and delivery milestones
Develop and optimize SQL, Python, and pipeline code for 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 team capability development
Work independently on enterprise-impact projects with limited supervision
Serve as a technical resource on complex data challenges and influence methods, policies, and procedures

Requirements

What you’ll need

Bachelor's degree required
4-6 years of data engineering experience
Advanced SQL proficiency
Strong Python skills for data pipeline development
Deep experience with data pipeline tools such as dbt, Azure Data Factory, Airflow, or Informatica
Experience with 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

Benefits

Comp & perks

51 - 200
🏥 Healthcare
💼 Consulting
📦 Logistics