Data Engineer

Luna Data Solutions, Inc.; Butler (IN); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Small team impact

Competitive compensation and benefits

Job summary

Luna Data Solutions, Inc. is hiring a data engineer to design structured data models, develop SQL-driven data warehouses, and build reliable pipelines feeding analytics across multiple manufacturing sites.

You will work hands-on in a SQL-heavy environment, collaborating with a data architect to consolidate data across divisions and ensure data quality and governance for BI and analytics initiatives onsite in Butler, Indiana.

Qualifications

• 5–7 years of SQL experience in a data engineering role.
• Experience with data warehouses and analytics environments.
• Manufacturing domain experience is a plus.

Responsibilities

• Develop advanced SQL solutions and stored procedures.
• Design and maintain structured data models and warehouses.
• Build and troubleshoot ETL/ELT pipelines.
• Ensure data accuracy, quality, and governance across systems.
• Collaborate with architects and engineers to translate requirements.

Skills

SQL proficiency

QlikSense

Data modeling

ETL/ELT pipelines

Cloud data platforms

Education

Bachelor's degree

Tools

Microsoft SQL Server

Job description

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.
• Extensive hands‑on experience with Qlik, preferrably QlikSense
• 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.