[Hiring] Junior Data Engineer at Kreate

Kreate is a family-owned plastic injection molding company headquartered in Findlay, Ohio, with operations across five states. We create consumer goods sold by major retailers—products that improve everyday experiences for the people who use them.

What makes Kreate different is how we think. We’re on a mission to reimagine familiar product categories and turn “same old” into “new and improved.” That mindset drives everything we do—from product development and manufacturing to how we invest in our people and run our operations.

Innovation at Kreate isn’t limited to engineering or design teams. It shows up on the plant floor, in continuous improvement efforts, in how we adopt new technologies, and in how we support our teams. We’re always evolving—our processes, our tools, and our capabilities—because we believe the best ideas can come from anywhere.

As a family-owned company, we take a long-term approach to growth. We value accountability, collaboration, and people who take pride in their work. Here, you’ll have the opportunity to make an impact, learn new skills, and help shape how we build products and run our business.

If you’re looking for a place where innovation is expected, initiative is encouraged, and your work truly matters, we’d love to Kreate the future together.

The Junior Data Engineer helps build, maintain, and strengthen the data platform that supports dashboards, planning, and daily reporting across Kreate. The role works with data from the ERP, HR systems, and retail feeds as it moves through a Microsoft Fabric lake house using Bronze, Silver, and Gold layers. Working alongside a Senior Data Engineer, the Junior Data Engineer will gain hands-on experience building data pipelines, improving data quality, and supporting reliable, production-ready data infrastructure. The role also takes ownership of daily pipeline monitoring and troubleshooting while developing the skills needed to build data solutions end to end.

Essential Functions and Responsibilities

• Build and maintain data ingestion pipelines and notebooks in Microsoft Fabric, including Data Factory pipelines, Python/Spark notebooks, and Delta tables.
• Monitor the daily operation of scheduled pipelines and container jobs, triage failures, and ensure partially failed jobs are accurately reported as failures rather than successful runs.
• Develop and maintain data quality checks for data freshness, row counts, duplicate records, and reconciliation back to source systems, including appropriate alerts for issues.
• Migrate ad-hoc and desktop-scheduled scripts to managed, version-controlled, and monitored infrastructure.
• Model new source tables into conformed Silver dimensions and Gold facts, with clearly documented data grain and business definitions.
• Maintain runbooks and the data catalogue to ensure data pipelines, processes, and systems are well documented and maintainable.
• Work alongside senior engineering team members to troubleshoot pipeline issues, understand root causes, and build reliable solutions.
• Collaborate with data, analytics, and business teams to ensure data is accurate, accessible, and fit for downstream reporting and analysis.

Required Qualifications

• 1–3 years of experience in data engineering, analytics engineering, software development, or a related field. Internships and substantial academic or personal projects may count toward experience.
• Solid SQL skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or “fan out” rows.
• Working knowledge of Python, including pandas or PySpark.
• Everyday experience using Git and version control.
• Strong attention to detail and patience for investigating existing pipelines and determining why a data result or metric has changed.
• A strong commitment to data accuracy and quality, with the judgment to flag discrepancies rather than deliver numbers that simply appear reasonable.
• Strong problem-solving skills and an interest in learning data engineering practices, tools, and technologies.

Preferred Qualifications

• Experience with Microsoft Fabric, Azure Data Factory, Databricks, or Synapse.
• Familiarity with Delta Lake and Parquet.
• Basic knowledge of Azure services such as App Service, Container Apps, Key Vault, and Entra ID.
• Experience working with ERP or manufacturing data, including Oracle, IQMS/DELMIAworks, SAP, or Epicor.
• Experience with Power BI.

Company Details:

• Location: Remote
• This position will report to the VP of AI & Analytics

Kreate is an equal opportunity employer. The Statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.