Data Engineer - Databricks - Mid Level

Lumenalta; Boston (MA); On-site; USD 50,000 - 85,000; Full time

Job summary

An established industry player is seeking a mid-level Data Engineer to join their fully remote team. In this role, you will leverage your expertise in Python and data engineering to develop innovative solutions for enterprise clients. You will work on ambitious projects that require creativity and problem-solving skills, all while enjoying the flexibility of remote work. The company values professional growth and offers a supportive environment for its team members. If you are passionate about digital transformation and eager to tackle complex challenges, this opportunity is perfect for you.

Benefits

Flexible working hours

Health insurance (medical and dental)

401K Contribution

Professional development fund

15 days paid time off annually

Access to soft-skill development courses

Qualifications

• 3+ years in data engineering with Python, delivering software to enterprises.
• Experience with large data sets and raw SQL manipulation.

Responsibilities

• Manipulate large data sets and create ETL pipelines from scratch.
• Work on innovative projects for enterprise clients in various industries.

Skills

Python

SQL

Pyspark

AWS

Databricks

ETL Pipeline creation

Problem-solving

Team collaboration

Job description

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

Base pay range

$50,000.00/yr - $85,000.00/yr

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 Pipeline 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

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 and Benefits

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.

Applications close on March 31, 2025.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Information Technology, and Consulting

Industries: IT Services and IT Consulting