Senior Data Engineer

By myKelly | August 19, 2026

Senior Data Engineer

Apply On Motion Recruitment Applied

Job ID: mrp-885522

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Chicago, ,

Engineering

Full Time,

$140000 - $170000

On-site

Other/Non Classified

Chicago, ,

$140000 - $170000

Full Time,

Other/Non Classified

On-site

Engineering

Apply On Motion Recruitment Applied

Job details

Join a growing, data-driven organization that is investing heavily in its modern cloud data platform and analytics capabilities. We are seeking a Senior Databricks Data Engineer to design, build, and optimize enterprise-scale data solutions using Databricks, Azure, PySpark, Delta Lake, SQL, and modern cloud technologies. This is a full-time opportunity for an engineer who is passionate about building scalable data products and shaping the future of data architecture.

You’ll have the opportunity to drive architecture decisions, influence engineering standards, and help build a best-in-class Lakehouse platform from the ground up. We’re looking for someone who thrives in complex environments, enjoys solving large-scale data challenges, and wants to work alongside talented engineers who value innovation and continuous learning. If you’re seeking a role that offers technical ownership, career growth, exposure to cutting-edge technologies, and strong work-life balance, this is an opportunity worth exploring.

Required Skills & Experience

  • 7+ years of experience in Data Engineering, Data Warehousing, or Data Platform development
  • 3+ years of hands-on Databricks experience in a production environment
  • Strong expertise with PySpark and Apache Spark
  • Advanced SQL development and query optimization skills
  • Experience building ETL/ELT pipelines at enterprise scale
  • Experience working within Azure, AWS, or GCP cloud environments
  • Excellent communication skills and ability to partner with technical and business stakeholders

Desired Skills & Experience

  • Azure Data Factory, Azure Synapse, or Microsoft Fabric experience
  • Experience with Kafka or event-driven architectures
  • Databricks Workflows, Airflow, or similar orchestration tools
  • Infrastructure as Code using Terraform or ARM templates
  • Experience supporting AI, Machine Learning, or advanced analytics initiatives
  • Prior experience mentoring engineers or leading technical initiatives

What You Will Be Doing
Tech Breakdown

  • 50% Databricks / PySpark / Spark
  • 25% Azure Data Platform Services
  • 25% SQL & Data Modeling

Daily Responsibilities

  • 70% Hands On
  • 30% Team Collaboration

The Offer

  • Bonus eligible

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance
  • Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Please note: The following benefits reflect Kelly's general offerings. Eligibility may vary by assignment, location, and job type. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, a legal plan, and short-term disability. As a Kelly employee, you will have access to a retirement savings plan, service bonus and holiday pay plans (earn up to eight paid holidays per benefit year), and a transit spending account. In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Click here for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community.



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