Data Platform Engineer - (onsite) Columbus, Ohio - NOT ACCEPTING AGENCY CANDIDATES

The Wasserstrom Company is the leading Food Service Distributor in the nation. Established in 1902, we are a family owned company with our headquarters in Columbus, Ohio. We are seeking a Data Platform Engineer to help support and expand the company's enterprise data platform built on Microsoft Fabric. This role will assist in developing data pipelines, maintaining trusted datasets, supporting business reporting, and helping provide the foundation for advanced analytics and AI initiatives. The ideal candidate is passionate about data, cloud technologies, and analytics and is looking to grow their skills in modern data engineering, Microsoft Fabric, and enterprise data platforms.

Essential Duties and Responsibilities:

• Assist in building and maintaining Microsoft Fabric data solutions, including OneLake, Lakehouse, Warehouse, Data Factory, and Power BI assets

• Support the development and maintenance of data pipelines that integrate information from SAP, operational systems, and other business applications

• Help create and maintain data models, datasets, and curated data products used by reporting and analytics teams.

• Assist with data validation, quality monitoring, and troubleshooting data issues.

• Support data ingestion processes, including scheduled and incremental data loads.

• Collaborate with business analysts, data engineers, and IT teams to understand reporting and analytics requirements.

• Participate in testing, documentation, and deployment of new data platform capabilities.

• Help monitor pipeline performance and reliability.

• Contribute to data governance, security, and data management initiatives.

• Other duties as assigned.

Education and Experience:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.

• 1–3 years of experience in data engineering, business intelligence, analytics, database development, or a related technical role.

Other Skills and Abilities:

• Working knowledge of SQL and relational databases.

• Basic experience with Python, Power BI, or data integration tools. ·

• Understanding of data warehousing and data modeling concepts.

• Strong analytical and problem-solving skills.

• Ability to work collaboratively across technical and business teams.

• Strong communication and organizational skills.

• Desire to learn modern cloud data technologies and enterprise data platforms.

• Communicates well with others; speaks and writes clearly; asks for and offers help when needed

• Interpersonal; resolves questions and concerns in a professional manner; maintains confidentiality ·

• Detail oriented; meets quality standards and demonstrates accuracy and thoroughness

• Organized; completes work in a timely manner; able to prioritize and meet deadlines

• Problem-solver; gathers and analyzes information skillfully and generates suggestions for improving work

• Capable of working independently and as a member of a team; contributes to building a positive team spirit

• Exposure to Microsoft Fabric, Power BI, Azure Data Services, or other cloud-based analytics platforms.

• Experience with ETL/ELT processes and data integration concepts.

• Familiarity with data pipelines, APIs, or data transformation tools.

• Exposure to Spark, Lakehouse concepts, or cloud data storage platforms.

• Experience with SAP data, ERP systems, or operational business systems.

• Understanding of supply chain, inventory, procurement, sales, or finance data.

• Microsoft certifications related to Fabric, Power BI, Azure, or data engineering are a plus

Wasserstrom offers a complete benefits package including medical, dental, vision, immediate 401(k) eligibility, immediate accrual of paid time off and paid holidays.

For employment consideration, please complete our online application at www.wasserstrom.jobs.

EOE AA M/F/Vet/Disability We are an Equal Opportunity Employer and will give consideration to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability.