Data Engineer: SQL-Warehouse & Pipelines for Manufacturing

Luna Data Solutions Inc.

Indiana (PA)

On-site

USD 80,000 - 100,000

Full time

14 days+

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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

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.

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