Senior Data Engineer — Remote Health Data & AI Pipelines

Providence; Hobbs (NM); On-site; USD 103,000 - 175,000; Full time

Benefits offered by this job

401(k) with employer match

Health, dental, vision benefits

Paid time off

Job summary

The position requires a Bachelor's and 5+ years as a Senior Data Engineer, with preferred Master's and expertise in Hadoop/Spark, SQL, Python, and modern ETL/ELT tooling. This is a remote role within Providence Shared Services across multiple regions, with comprehensive benefits.

Qualifications

• Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering.
• 5 or more years of experience as a Senior Data Engineer.
• Proficiency in Hadoop/Spark/NoSQL ecosystems and SQL/Python.

Responsibilities

• Analyze clinical data and design data-centric software for healthcare systems.
• Build data pipelines, enrichment processes, and provisioning layers.
• Mentor junior data engineers and collaborate with Product/Platform teams.

Skills

Data modeling

Mentoring

Collaboration

Education

Bachelor's degree in Computer Science/Engineering

Master's degree preferred

Tools

Hadoop

Spark

NoSQL

SQL

Python

Airflow

dbt

Snowflake

Redshift

BigQuery

Flink

HL7/FHIR

FastAPI/Flask

ETL/ELT tooling

LangChain/LlamaIndex

Job description

The position requires a Bachelor's and 5+ years as a Senior Data Engineer, with preferred Master's and expertise in Hadoop/Spark, SQL, Python, and modern ETL/ELT tooling. This is a remote role within Providence Shared Services across multiple regions, with comprehensive benefits.