Data Engineer

Data Engineer position in Butler, Indiana, focused on designing structured data models, building SQL driven data warehouses, and delivering reliable pipelines across multiple manufacturing facilities in collaboration with a data architect and technical partners.

Responsibilities

• Create sophisticated SQL solutions, including complex queries, stored procedures, views, and triggers.
• Design and sustain structured data models and enterprise data warehouses used across several facilities.
• Develop, refine, and troubleshoot ETL/ELT pipelines to support large-scale data ingestion.
• Ensure data accuracy, consistency, and reliability across interconnected systems.
• Monitor and optimize data workflows and query performance.
• Collaborate with data architects, engineers, and operations teams to turn requirements into scalable data solutions.
• Document data flows, schemas, and definitions to support long-term maintainability.
• Adhere to data governance, security, and compliance standards.
• Manage assigned work independently and meet commitments.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Engage in ongoing learning to stay current with evolving data technologies.

Requirements

• 5 to 7 years of hands-on SQL experience in a SQL-heavy environment.
• 5 to 7 years of experience in data analytics or a related discipline.
• Hands-on experience with Qlik and/or Power BI, with Qlik used more heavily across the group.
• Proven background in data engineering, analytics engineering, or similar roles.
• Strong SQL proficiency, including advanced queries, stored procedures, and triggers.
• Experience with relational databases and data modeling concepts.
• Experience building and maintaining ETL/ELT pipelines.
• Experience supporting BI, reporting, or analytics environments.
• Familiarity with data quality monitoring practices.
• Experience with cloud data platforms, data warehouses, or data lakes.
• Strong written and verbal communication skills.
• Demonstrated ownership of data solutions and deliverables.
• Bachelor’s degree in a relevant field, equivalent experience, or industry certifications.
• Proficiency with Microsoft SQL Server.
• Experience in manufacturing or industrial environments.

Technologies

• SQL
• Qlik
• Power BI
• Microsoft SQL Server

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Tuition reimbursement
• Vision insurance

What We Offer

• Small team where you can make a big impact.
• Competitive compensation and benefits.