A newly formed data engineering team is expanding, and we’re looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This role focuses on designing structured data models, developing SQL-driven data warehouses, and creating reliable pipelines that feed analytics and operational applications across several sites.
You’ll work closely with a data architect and other technical partners to consolidate data from multiple divisions into a unified environment. This is a hands-on engineering role ideal for someone who thrives in complex data ecosystems, values accuracy, and enjoys building foundational systems from the ground up.
Key Responsibilities
- Develop advanced SQL solutions including complex queries, stored procedures, views, and triggers.
- Design and maintain structured data models and warehouse environments used across multiple facilities.
- Build, refine, and troubleshoot ETL/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 for long-term maintainability.
- Follow data governance, security, and compliance standards.
- Manage assigned work independently and deliver on commitments.
- Communicate technical concepts clearly to both technical and non-technical audiences.
- Participate in ongoing learning to stay current with evolving data technologies.
Required Qualifications
- 5–7 years of professional SQL experience (this is a SQL-heavy environment).
- 5–7 years of experience in data analytics or a related discipline.
- Hands-on experience with Qlik and/or Power BI (Qlik is 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.
What We Offer
- Small team where you can make a big impact.
- Competitive compensation and benefits.
This is a direct-hire, full-time employment opportunity onsite in Butler, Indiana. Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check and drug test are required for this role.
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