Senior DataBricks Developer (Healthcare)

Lumenalta; Dallas (TX); Remote; USD 60,000 - 120,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

401(k) contribution

Professional development fund

15 days of paid time off

Access to soft-skill development courses

Job summary

A leading technology firm is seeking a Senior Data Engineer to join their remote team. In this full-time position, you will build and maintain robust ETL pipelines, work with complex datasets, and collaborate with cross-functional teams. Ideal candidates should have over 7 years of experience and be proficient in Python, SQL, and tools like AWS and Databricks. This role offers competitive pay and benefits, including flexible working hours and health insurance.

Qualifications

• 7+ years of experience as a Data Engineer.
• Hands-on experience with PySpark, AWS, and Databricks.
• Proven experience working with healthcare datasets (claims data preferred).

Responsibilities

• Build and maintain robust ETL pipelines from scratch.
• Collaborate with cross-functional teams to integrate and process datasets.
• Implement CI/CD pipelines and ensure data quality.

Skills

Python

SQL

PySpark

AWS

Databricks

Tools

AWS Glue Data Catalog

Lake Formation

Job description

Overview

We are seeking a Data Engineer to join our remote team to help solve meaningful problems with clean, scalable data solutions. We work with global enterprises on digital products that reach millions of users, involving large datasets, complex pipelines, and real-world impact across industries.

Base pay

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

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 & schedule

This is a fully remote position; 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. This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

Benefits

• Flexible working hours in a remote environment
• Health insurance (medical and dental) for W2 Employees
• 401(k) contribution
• Professional development fund to enhance your skills and knowledge
• 15 days of paid time off annually
• Access to soft-skill development courses to further your career

Salary range may be determined by qualifications, expertise, experience, and the role’s scope. We offer competitive pay for this role.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Consulting

Industries

• IT Services and IT Consulting

This is an evergreen opening with no set deadline.