Data Engineer - Databricks

Lumenalta; Austin (TX); Remote; USD 50,000 - 85,000; Full time

Job summary

Lumenalta is seeking a Mid-Level Data Engineer specializing in Databricks to work on dynamic projects involving massive datasets and complex pipelines. This fully remote position offers a competitive salary and a variety of benefits designed to foster professional and personal growth, including health insurance and flexible working hours.

Benefits

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

Qualifications

• 3+ years of experience as a Data Engineer.
• Strong Python and SQL skills.
• Hands-on experience with PySpark, AWS, and Databricks.

Responsibilities

• Build and maintain robust ETL pipelines from scratch.
• Work with large, complex datasets using Python and raw SQL.
• Deliver data solutions that drive business outcomes for enterprise clients.

Skills

Python

SQL

ETL pipelines

PySpark

AWS

Databricks

Job description

Join to apply for the Data Engineer - Databricks role at Lumenalta

Continue with Google Continue with Google

2 days ago Be among the first 25 applicants

Join to apply for the Data Engineer - Databricks role at Lumenalta

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.

What You'll Do

• Join the team as a Mid-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
• Deliver data solutions that drive business outcomes for enterprise clients

What We’re Looking For

• 3+ years of experience as a Data Engineer
• Strong Python and SQL skills
• Hands-on experience with PySpark, AWS, and Databricks
• 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: $50,000 - $85,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

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

• Flexible working hours in a remote environment.
• Health insurance (medical and dental) for W2 Employees
• 401K Contribution
• A 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.

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

At Lumenalta, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Consulting

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lumenalta by 2x

Sign in to set job alerts for “Data Engineer” roles.

Continue with Google Continue with Google

Continue with Google Continue with Google

Austin, TX
$118,079.25
-
$157,439.00
1 week ago

Full-Stack Developer & Data Visualization Engineer

Software Engineer, Devices - United States

Austin, TX
$105,000.00
-
$230,000.00
1 week ago

Austin, TX
$140,000.00
-
$170,000.00
3 months ago

Austin, TX
$140,000.00
-
$157,000.00
1 week ago

Freelance GenAI Developer - Prompt Engineering & Data Workflows

Austin, TX
$101,250.00
-
$135,000.00
4 days ago

Austin, Texas Metropolitan Area 2 days ago

Austin, TX
$150,000.00
-
$180,000.00
2 weeks ago

Data Analyst/Report Writer 3 (Power BI Developer) - 100% Remote

Austin, TX
$150,000.00
-
$175,000.00
1 month ago

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Construction Analytics Solutions Engineer

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.