Data Engineer

Vernovis; Cincinnati (OH); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

401(k)

Vision insurance

Medical insurance

Job summary

A staffing and recruiting company is seeking a Data Professional in Cincinnati. The ideal candidate will have experience in data engineering, specifically with SQL, Python, and Google Cloud Platform. Responsibilities include designing pipelines and collaborating with the data team to enhance data strategies. A Bachelor's degree in a related quantitative field and a minimum of 3 years in IT are required. Competitive salary and benefits offered.

Qualifications

• 3+ years in Information Technology with hands-on SQL and Python experience.
• 2+ years in building enterprise-scale data solutions.
• 1+ year in CI/CD pipelines using Git repositories.

Responsibilities

• Design, build, and maintain data engineering pipelines.
• Review and improve data acquisition strategies.
• Collaborate using Google Cloud Platform for data analysis.

Skills

SQL

Python

BigQuery

Google Cloud Platform

Data analytics

CI/CD pipelines

Data engineering

Education

Bachelor’s degree in Statistics, Mathematics, Data Science, or related field

Master’s degree in a related field

Tools

Docker

Kubernetes

Terraform

Job description

Overview

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 [e-mail]

Compensation

Base pay range: $110,000.00/yr - $120,000.00/yr

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

What You’ll Do

• 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.

Required Experience

• 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, BigQuery, 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 (GitLab, GitHub) and deployment tools (Cloud Build, GitLab 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.

Preferred Experience

• 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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

• Staffing and Recruiting

Benefits

• 401(k)
• Vision insurance
• Medical insurance