Senior Healthcare Data Engineer - ML & Pipelines (Remote)

Providence Health & Services; Hobbs (NM); On-site; USD 120,000 - 180,000; Full time

Job summary

Qualifications

• Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering.
• 5 or more years of experience as a Senior Data Engineer.
• Preferred: Master's degree and 8+ years data development experience.
• Experience with Hadoop/Spark/NoSQL ecosystems.
• Strong SQL and Python with Linux-based processing.
• Experience with OLAP/Cloud Data Warehousing (Snowflake, Synapse, Redshift, BigQuery).
• Familiarity with EHR/EMR standards (HL7, FHIR) and APIs.
• Knowledge of modern ETL/ELT tooling (ADF, Glue, Airflow, dbt, NiFi, Informatica, Fivetran).
• Experience with AI/ML + LLM pipelines.

Responsibilities

• Analyze clinical data and report trends; design and build data-centric software for healthcare operations.
• Build data pipelines, transformations, and data enrichment processes using cloud and big data technologies.
• Mentor and coach junior Data Engineers; contribute to R&D for repeatable templates and best practices.
• Collaborate with Product, Platform, and Architecture teams to deliver joint initiatives.
• Ensure documentation and source control are maintained.

Skills

SQL

Python

Data engineering

ETL

Big data

Cloud data warehousing

HL7/FHIR

APIs

FastAPI/Flask

LLM / AI

Education

Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering.

Master's degree in computer engineering, Computer Science, Mathematics, Engineering.

Tools

Hadoop

Spark

NoSQL

Kafka

Flink

Snowflake

Synapse

Redshift

BigQuery

SQL tooling (dbt, Airflow, NiFi, Informatica, Fivetran)

FastAPI

Flask

AI/ML tooling

Job description