Senior Data Engineer — Databricks

Job overview

The Senior Data Engineer works onsite in Columbus, OH; compensation is not specified. The role collaborates with analytics, engineering, and architecture teams to build enterprise data pipelines and Lakehouse solutions. The engineer designs and optimizes data systems that provide reliable, high-quality information for analytics, reporting, and downstream applications. The work includes building reusable data frameworks and supporting deployment practices for enterprise data solutions.

What you'll do

• Design and build ETL/ELT pipelines using Databricks
• develop PySpark and Spark SQL transformations
• build Bronze, Silver, and Gold layers using Medallion Architecture
• implement Delta Live Tables, Workflows, and Unity Catalog
• optimize Spark jobs
• design dimensional data models
• implement data-quality validation and monitoring
• collaborate across analytics, engineering, and architecture
• build reusable frameworks and automation
• support CI/CD deployment pipelines and Git-based development.

What we're looking for

Skills & competencies

senior data engineer

databricks

pyspark

spark sql

delta lake

medallion architecture

data pipelines

columbus oh

proteam solutions

data quality

ci/cd

Work arrangement

• Weekend coverage required

Why this role

The posting seeks 7–10+ years of data engineering experience and hands-on expertise with Databricks, PySpark, Spark SQL, Delta Lake, Medallion Architecture, Delta Live Tables, and Unity Catalog. Databricks certification and streaming-data experience are preferred.

About the employer

Proteam Solutions is hiring for this role. Industry: Computer Facilities Management Services. Sector: 54.