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TieTalent
TieTalent

Data Engineer - Databricks

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Software Development
Data
Python
+17

Visa

U.S. visa required

Contract role
2 days ago
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Data Engineer - Databricks

role at

Lumenalta 1 day 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. 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 Deliver data solutions that drive business outcomes for enterprise clients What Were Looking For 7+ 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: $60,000 - $110,000 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

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