Added - 2 days ago Data Engineer Developer/Engineer Butler , Indiana | Direct Hire

Luna Data Solutions Inc.; Indiana (PA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Opportunity for impact in a small team

Job summary

Luna Data Solutions Inc. is seeking a Data Engineer to join their growing data engineering team in Butler, Indiana. The role involves designing data models, developing advanced SQL solutions, and building reliable ETL/ELT pipelines for multiple manufacturing facilities.

Ideal candidates should have 5–7 years of SQL experience and hands-on experience with data visualization tools like Qlik or Power BI. This full-time position offers competitive compensation and a chance to make a significant impact in a small team environment.

Qualifications

• 5–7 years of professional SQL experience in a SQL-heavy environment.
• Hands-on experience with Qlik and/or Power BI, especially Qlik.
• Experience building and maintaining ETL/ELT pipelines.

Responsibilities

• Develop complex SQL solutions including queries, stored procedures, and triggers.
• Design and maintain structured data models and warehouse environments.
• Build, refine, and troubleshoot ETL/ELT pipelines.

Skills

SQL proficiency

Data engineering

Data modeling

ETL/ELT pipeline development

Experience with Qlik

Experience with Power BI

Cloud data platforms

Data quality monitoring

Strong communication skills

Education

Bachelor's degree in a relevant field

Tools

Microsoft SQL Server

Qlik

Power BI

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.
• 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.