Data Engineer

Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest. Vernovis is partnering with a local Fortune 500 company to help identify talented Data Professionals for their growing Data Team.

This is a great opportunity to join a well-established local company and help them transform their business.

If interested, please contact Jonathon Juriga at

Base pay range: $/yr - $/yr

Compensation: $110,000-$120,000 + bonus

• Design, build, and maintain data engineering pipelines, data models, and analytics solutions while troubleshooting major issues.
• Review and improve data acquisition strategies; develop programs to load data into the Data Lake/Data Warehouse.
• Collaborate with the data team to leverage Google Cloud Platform for data analysis, model building, and generating reports/visualizations.

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field.
• 3+ years in Information Technology, including hands-on experience with SQL, Python, Big Query, Cloud Composer, and Cloud Pub/Sub.
• 2+ years building and operationalizing enterprise-scale data solutions, including end-to-end production pipelines in a hybrid big data architecture.
• 1+ year working with CI/CD pipelines using code repositories (Git Lab, Git Hub) and deployment tools (Cloud Build, Git Lab Runners).
• 1+ year in reporting, data analytics, and pipeline development.
• Cloud experience (GCP, Azure, or AWS) — GCP preferred.
• Solid understanding of enterprise technical environments, including SAP development and architecture.

• Master’s degree in a related quantitative field plus 1+ year in IT.
• Experience with medallion architecture and the Google Cortex framework.
• Familiarity with containerization tools (Docker, Kubernetes).
• Proficiency in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL, and Data Fusion.

Mid-Senior level

Full-time

Information Technology

• Staffing and Recruiting

• 401(k)
• Vision insurance
• Medical insurance