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Kelly Services, based in Harrisonburg, VA, seeks 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 full-time role offers technical ownership to drive architecture decisions, influence engineering standards, and help build a best-in-class Lakehouse platform from the ground up, with a strong emphasis on scalable data products and cross-team collaboration.
$140000 - $170000
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.
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
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
50% Databricks / PySpark / Spark
25% Azure Data Platform Services
25% SQL & Data Modeling
70% Hands On
30% Team Collaboration
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.
Equal Opportunity Employer.
All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.