Data Engineer

This onsite Data Engineer role in Butler, IN focuses on designing structured data models, developing SQL driven data warehouses, and building reliable pipelines to support analytics and operations across multiple manufacturing facilities, in collaboration with a data architect and other technical partners.

Responsibilities

• Create sophisticated SQL components including complex queries, stored procedures, views, and triggers.
• Design and maintain structured data models and data warehouse environments used across several facilities.
• Build, refine, and troubleshoot ETL and ELT pipelines supporting large scale data ingestion.
• Ensure data accuracy, consistency, and reliability across interconnected systems.
• Monitor and optimize data workflows and query performance.
• Collaborate with architects, engineers, and operational teams to translate requirements into scalable data solutions.
• Document data flows, schemas, and definitions to support long term maintainability.
• Adhere to data governance, security, and compliance standards.
• Work independently to manage assigned tasks and deliver on commitments.
• Communicate technical concepts clearly to both technical and non technical audiences.
• Engage in continuous 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.
• Practical 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 and 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.