Remote Health Data Engineer - Cloud Pipelines & Analytics

Providence Health & Services; Lubbock (TX); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) retirement plan with employer 1

Health, dental, and vision coverage

Paid parental leave

Vacation and holiday time

Well-being resources

Job summary

Providence Health & Services is seeking a Senior Data Engineer to analyze clinical data, design data-centric software, and build scalable data pipelines supporting healthcare operations. You will collaborate with Product, Platform, and Architecture teams, mentor junior engineers, and advance cloud-based data solutions with modern frameworks.

The role emphasizes strong SQL/Python skills, experience with Hadoop/Spark ecosystems, and the ability to deliver reliable, compliant data products for

Qualifications

• Bachelor's degree in computer engineering, CS, mathematics, or engineering.
• 5+ years of experience as a Senior Data Engineer.
• Strong knowledge of data engineering concepts and cloud computing.

Responsibilities

• Analyze clinical data and report trends.
• Design and build data-centric software for healthcare systems.

Skills

Mentorship

Collaboration

Problem solving

Education

Bachelor's degree in computer engineering, CS, Mathematics, or Engineering

Master's degree in computer engineering, CS, Mathematics, or Engineering

Tools

Hadoop

Spark

NoSQL

SQL

Python

FastAPI

Flask

Snowflake

Synapse

Redshift

BigQuery

Airflow

dbt

NiFi

Informatica

Fivetran

Job description

Providence Health & Services is seeking a Senior Data Engineer to analyze clinical data, design data-centric software, and build scalable data pipelines supporting healthcare operations. You will collaborate with Product, Platform, and Architecture teams, mentor junior engineers, and advance cloud-based data solutions with modern frameworks.

The role emphasizes strong SQL/Python skills, experience with Hadoop/Spark ecosystems, and the ability to deliver reliable, compliant data products for