Data Engineer | Real-Time Pipelines (Cincinnati, On-Site)

SSi People; Cincinnati (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

SSi People in Cincinnati is seeking a Data Engineer to help design, build, and support scalable data solutions in a complex enterprise environment, enabling trusted data for reporting, analytics, ML, and decision-making.

The role focuses on developing ETL/ELT pipelines, integrating diverse data sources, and delivering reusable data products and services to empower analytics, with an on-site, Cincinnati-based work setting.

Qualifications

• 3+ years of professional data engineering experience with SQL and Python.
• Experience building ETL/ELT pipelines in large-scale enterprise environments.
• Familiarity with data warehouses, data lakes, lakehouse platforms and dimensional modeling.
• Experience in retail or e-commerce is preferred.

Responsibilities

• Design, develop, test, deploy, and maintain scalable batch and real-time data pipelines.
• Integrate structured, semi-structured, and unstructured data from internal and external sources.
• Build reusable data products and frameworks to support analytics, reporting, and ML use cases.
• Implement data-quality checks, validation rules, monitoring, and production support.

Skills

SQL

Python

Data Engineering

Tools

ETL/ELT pipelines

Data warehouses / data lakes / lakehouse

Job description

SSi People in Cincinnati is seeking a Data Engineer to help design, build, and support scalable data solutions in a complex enterprise environment, enabling trusted data for reporting, analytics, ML, and decision-making.

The role focuses on developing ETL/ELT pipelines, integrating diverse data sources, and delivering reusable data products and services to empower analytics, with an on-site, Cincinnati-based work setting.