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Data Engineer
Job in
Cincinnati, Hamilton County, Ohio, 45208, USA
Listed on 2026-07-23
Listing for:
STEM Search Group
Full Time
position Listed on 2026-07-23
Job specializations:
-
Software Development
SQL Developer, Data Engineering, Python
Job Description & How to Apply Below
- Build and optimize robust data pipelines using a blend of modern programming and traditional enterprise tools including C#, Python, SSIS, and Microsoft SQL Server versions 2019 through 2025.
- Design and implement custom data warehouse solutions and data structures to ensure high data availability, cleansing, and seamless integration for downstream business consumption.
- Collaborate closely with the data science team to integrate their R-based models and prototypes into reliable production workflows.
- Work closely with an established team of eight data engineers, a principal engineer, and external consultants to manage existing systems while selectively leveraging Databricks for cloud data processing.
- Participate actively in a collaborative agile environment by contributing to work estimates, following clean coding practices, and maintaining comprehensive documentation.
- Proven experience designing production‑grade data pipelines, custom data models, and enterprise data warehouse solutions
- Extensive hands‑on experience working with Microsoft SQL Server platforms, specifically versions 19, 22, and 25, alongside building complex ETL processes with SSIS
- Solid proficiency writing and debugging code in both C# and Python, paired with the ability to interface effectively with data science outputs
- Familiarity with Databricks environments to effectively support evolving cloud and big data initiatives
- A team‑oriented mindset with excellent problem‑solving skills, comfortable working in a hybrid environment requiring three days in‑office and two days remote
- Comfort navigating software development life cycles and source control, along with a readiness to complete a programmer aptitude test as part of the evaluation process
- A desire to grow with AI as it relates to data warehousing and data engineering
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