Senior Data Engineer, Remote - DataOps & Cloud Analytics

Providence Health & Services; Los Angeles (CA); Remote; USD 6,000 - 122,000; Full time

Benefits offered by this job

Best-in-class benefits

Opportunity for virtual work

Job summary

Providence Health & Services is seeking a Senior Data Engineer to design and develop data-centric applications supporting clinical workflows. This role includes building scalable data pipelines and mentoring junior engineers.

The ideal candidate has a Bachelor’s Degree and 5+ years of experience in data development, with strong SQL and Python skills. The position supports 100% virtual work, allowing for flexibility.

Qualifications

• 5 years of related experience; 5–8 years preferred.
• Master's degree in Computer Engineering, Computer Science, Mathematics, Engineering preferred.

Responsibilities

• Automate and monitor ELT/ETL pipelines across cloud services.
• Triaging failures and performing root‑cause analyses.
• Building operational automation with SQL, Python, and shell scripting.

Skills

SQL

Python

Shell scripting (Bash/PowerShell)

Cloud computing

Data warehousing

OLAP/dimensional modeling

Git-based workflows

Education

Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering

Tools

Fivetran

Snowflake

Job description

Providence Health & Services is seeking a Senior Data Engineer to design and develop data-centric applications supporting clinical workflows. This role includes building scalable data pipelines and mentoring junior engineers.

The ideal candidate has a Bachelor’s Degree and 5+ years of experience in data development, with strong SQL and Python skills. The position supports 100% virtual work, allowing for flexibility.