Senior DataBricks Developer (Healthcare)

Lumenalta

Chicago (IL)

Remote

USD 60,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours

Health insurance (medical and dental)

401K Contribution

Professional development fund

15 days of paid time off annually

Access to soft-skill development courses

Job summary

A healthcare-focused technology company is looking for a Senior DataBricks Developer for a fully remote role. The ideal candidate will have over 7 years of experience in data engineering, strong skills in Python and SQL, and hands-on experience with Databricks. The position involves building ETL pipelines and working with complex healthcare datasets. This role offers a salary range of $60,000 to $120,000 per year, along with flexible working hours and comprehensive benefits.

Qualifications

7+ years of experience as a Data Engineer.
Hands-on experience with PySpark, AWS, and Databricks.
Proven experience working with healthcare datasets.

Responsibilities

Build and maintain robust ETL pipelines from scratch.
Collaborate with teams to integrate healthcare datasets.
Implement CI/CD pipelines to ensure data quality.

Skills

Python

SQL

PySpark

AWS

Databricks

Data Engineering

Healthcare data knowledge

ETL/ELT

Tools

AWS Glue Data Catalog

AWS Lake Formation

Job description

Overview

Join to apply for the Senior DataBricks Developer (Healthcare) role at Lumenalta.

Base pay range

$60,000.00/yr - $120,000.00/yr

What we're working on

We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.

What You’ll Do

Join the team as a Senior-Level Data Engineer
Build and maintain robust ETL pipelines from scratch
Work with large, complex datasets using Python and raw SQL
Use tools like PySpark, AWS, and Databricks daily
Design, build, and optimize high-performance data pipelines and ETL workflows in Databricks on AWS, ensuring scalability, reliability, and compliance.
Collaborate with cross-functional teams to integrate and process healthcare datasets, including claims, EHR, and payer-provider data.
Implement CI/CD pipelines and DevOps best practices to ensure data quality, lineage, and security.
Deliver data solutions that drive business outcomes for enterprise clients

What We’re Looking For

7+ years of experience as a Data Engineer
Strong Python and SQL skills
Hands-on experience with PySpark, AWS, and Databricks
8+ years of experience in data engineering, including at least 5 years hands-on with Databricks in AWS environments.
Proven experience working with healthcare datasets (claims data preferred) and understanding of U.S. regulatory standards such as HIPAA.
Strong foundation in SQL, ETL/ELT, and data warehousing.
Familiarity with data governance and quality tools such as AWS Glue Data Catalog or Lake Formation.
Fluent in English (spoken and written)

Location and Work Setup

The job is 100% remote; please ensure you have a comfortable office set at your desired work location.

Salary and Compensation

Salary range: $60,000 - $120,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

Benefits