Senior DataBricks Developer (Healthcare)

Lumenalta

Austin (TX)

Remote

USD 60,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours

Health insurance

401K Contribution

Professional development fund

15 days paid time off

Access to soft-skill development courses

Job summary

A leading tech company is seeking a Senior-Level Data Engineer to develop scalable data solutions. The position requires 7+ years of experience with strong Python and SQL skills and familiarity with AWS and Databricks. This is a fully remote role, offering flexible hours and competitive pay, with an annual salary between $60,000 - $120,000.

Qualifications

7+ years of experience as a Data Engineer.
8+ years of experience in data engineering.
Proven experience with healthcare datasets.
Strong foundation in SQL and data warehousing.

Responsibilities

Build and maintain robust ETL pipelines from scratch.
Work with large datasets using Python and SQL.
Collaborate with teams to integrate healthcare datasets.
Implement CI/CD and DevOps best practices.

Skills

Strong Python skills

Strong SQL skills

Hands-on experience with PySpark

Experience with AWS

Experience with Databricks

Familiarity with healthcare datasets

Understanding of HIPAA regulations

Foundation in ETL/ELT

Data governance knowledge

Fluent in English

Tools

AWS Glue Data Catalog

Lake Formation

Job description

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Lumenalta provided pay range

This range is provided by Lumenalta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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)

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

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