Luna Data Solutions, Inc.
Data Engineer - ONSITE
Butler, Indiana, USA · Full-time
Sponsorship not specifiedDetected 28 days ago
SQLData AnalysisData EngineeringData VisualizationCommunication
About the role
- Ensure data accuracy, consistency, and reliability across interconnected systems.
- Follow data governance, security, and compliance standards.
- Communicate technical concepts clearly to both technical and non-technical audiences.
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.
- 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.
- Manage assigned work independently and deliver on commitments.
Requirements
- 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 supporting BI, reporting, or analytics environments.
- Familiarity with data quality monitoring practices.
- Experience with cloud data platforms, data warehouses, or data lakes.
- Bachelor’s degree in a relevant field, equivalent experience, or industry certifications.
Benefits
- Competitive compensation and benefits.
- Participate in ongoing learning to stay current with evolving data technologies.
Equal opportunity
- 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.
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