Senior DataBricks Developer (Healthcare)

Lumenalta

Baltimore (MD)

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 of paid time off annually

Access to soft-skill development courses

Job summary

A technology consulting firm is seeking a mid-senior level Data Engineer to join their remote team. The role involves building and maintaining ETL pipelines and working with complex healthcare datasets. Candidates should have at least 7 years of experience, strong skills in Python and SQL, and a solid understanding of U.S. regulatory standards. This full-time position offers a salary range of $60,000 to $120,000 based on experience.

Qualifications

7+ years of experience as a Data Engineer.
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.

Responsibilities

Build and maintain robust ETL pipelines from scratch.
Design, build, and optimize high-performance data pipelines.
Collaborate with cross-functional teams.

Skills

Python

SQL

PySpark

AWS

Databricks

Healthcare datasets

ETL/ELT

Data governance

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\u2019re 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.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: