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# Software Engineer - Data - Columbus, OH

- **Company:** Midwest Motor Supply Co.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Online Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft Dynamics, Microsoft SQL Server, SQL Azure, Power BI, SQL Databases, Azure Data Factory, Sql Optimization, Apache Spark, Microsoft Fabric, Pyspark, Information Technology, Azure Synapse Analytics, Data Pipelines, Legacy Systems, Databricks, Microservices
- **Published:** July 16, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87158823/1

## About the Role

Participate in on-call support rotation for complex tier-2/3 incidents. * Stay ahead of industry trends, share knowledge, and proactively introduce innovative solutions. Qualifications * 5+ years of experience in data engineering or a related field. * Bachelor's degree in Computer Science or equivalent experience. * Proven passion for data and technology, with a record of continuous learning and leadership. * Expertise in tools and languages: Python, SQL, Azure Synapse Analytics, Microsoft Fabric (Lakehouse, Dataflows), Azure Data Factory, Spark, Databricks, and integration with Power BI and Copilot. * Strong understanding of Microsoft ecosystem and enthusiasm for Microsoft Fabric advancements. * Microsoft Fabric experience highly preferred. Additional Information This is a fully on-site position reporting to the Columbus, Ohio office Monday through Friday. We offer a benefits package that includes health, dental and vision insurance, company sponsored life

## Description

diverse stakeholders. * Curiosity and excitement about emerging technologies, especially Microsoft Fabric. * Commitment to delivering high-quality, secure, and scalable data solutions. Key Responsibilities * Architect, develop, and maintain modern data platforms, including data warehouses and lakes. * Design dimensional models that power reporting, analytics, and advanced insights. * Build and optimize ETL/ELT pipelines using advanced SQL and PySpark transformations. * Integrate data from diverse sources: SQL Server, Azure SQL, APIs, and flat files. * Collaborate on systems such as Dynamics 365 F&SCM and CE, AX, CRM, Infios WMS, custom microservices, and legacy applications. * Enable advanced analytics and AI/ML workloads through efficient, scalable data pipelines. * Champion consistency in naming conventions and calculations in partnership with data governance and business teams. * Implement robust data security measures, including access control, encryption, and auditing. *


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