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# Lead Data Engineer in Cincinnati

- **Company:** Energy Jobline
- **Location:** Cincinnati, OH, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Distributed Data Store, Python (Programming Language), Performance Tuning, Scrum Methodology, Standard Sql, Systems Integration, Microsoft Power Automate, Azure Data Factory, Git, Data Lakes, Data Pipelines, Serverless Computing, Databricks
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/lead-data-engineer-cincinnati-31828389

## About the Role

* 7+ years in data engineering or related fields.
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 * 5+ years hands-on with Azure Data Factory building enterprise data pipelines.
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 * 5+ years with Databricks, including cluster management, jobs, and performance tuning.
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 * Advanced Python proficiency and strong SQL across relational and distributed data systems.
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 * Strong experience with Azure Storage (Blob, Data Lake, Table) and hands-on experience with Azure Functions and/or Logic Apps.
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 * Proficiency in ETL/ELT design; experience with Git and CI/CD for data engineering.
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 * Agile/Scrum experience with strong problem-solving, communication, and documentation skills.
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## Description

The Lead Data Engineer is responsible for integrating and harmonizing data from multiple internal and external sources to build scalable, enterprise-grade data pipelines on Azure. The role involves collaborating with clients, vendors, and cross-functional teams to understand data sources, define business metrics and KPIs, and develop trusted datasets that support multiple downstream analytics, reporting, and business initiatives. Strong expertise in Azure data services, Python, stakeholder management, and data modelling is essential.