Data Engineer - Databricks - Mid Level

Lumenalta; Tulsa (OK); Remote; USD 50,000 - 85,000; Full time

Job summary

A leading company is seeking a mid-level Data Engineer specializing in Databricks. This fully remote role involves working on innovative projects that impact millions of customers. Ideal candidates will have experience in data engineering, particularly within complex industries like E-commerce and Financial Services. Join a team that values creativity and personal growth while delivering exceptional outcomes for clients.

Benefits

Flexible working hours

Health insurance

401K Contribution

Professional development fund

15 days of paid time off

Access to soft-skill development courses

Qualifications

• 3+ years experience in data engineering.
• Experience creating ETL pipelines from scratch.
• E-commerce and Financial Services industry experience preferred.

Responsibilities

• Manipulating large data sets and handling raw SQL.
• Delivering business-critical software to large enterprises.
• Working on innovative digital products.

Skills

Python

SQL

Pyspark

ETL

English

Tools

Databricks

AWS

Job description

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

Experience Remote done Right. With over 20 years of remote experience, all 500+ staff are 100% remote, and we still grow vibrant relationships and provide exceptional opportunities for career growth while working with stellar clients on ambitious projects.

What we're working on:

Enterprise companies turn to us to help them launch innovative digital products that interact with hundreds of millions of customers, transactions and data points. The problems we solve daily are real and require creativity, grit and determination. We are building a culture that challenges norms while fostering experimentation and personal growth. To grasp the scale of problems we face, ideally, you have some exposure to Logistics, FinTech, Transportation, Insurance, Media or other complex multifactor industries.

Requirements:

• 3+ years experience in a data engineering role using Python; ideally, you have delivered business-critical software to large enterprises.
• You are comfortable manipulating large data sets and handling raw SQL.
• Experience using technologies such as Pyspark/AWS/Databricks is essential.
• Experience creating ETL pipelines from scratch.
• E-commerce and Financial Services industry experience preferred.
• English fluency, verbal and written.
• Personality traits: Professional, problem solver, proactive, passionate, team player.

Why Lumenalta is an amazing place to work:

At Lumenalta, you can expect that you will:

• Be 100% dedicated to one project at a time so that you can innovate and grow.
• Be a part of a team of talented and friendly senior-level developers.
• Work on projects that allow you to use leading tech.

The result? We produce meaningful outcomes for our clients that break barriers in their industries.

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

Lumenalta is committed to hiring exceptional talent from a wide variety of diverse backgrounds. If you share our values and enthusiasm for digital transformation, we encourage you to apply.

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

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Consulting

Industries

• IT Services and IT Consulting

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