BI Data Engineer

## BI Data Engineer Apply locations:
Auburn Hillstime type:
Full time posted on:
Posted 2 Days Agojob requisition :
JR101200

CSP is the industry leader in the formulation and molding of lightweight, advanced composite components for the transportation industries. As an innovative, full-service Tier One supplier, we offer an entrepreneurial environment where you’re only limited by your own imagination. In addition to our team-focused environment, we provide industry-leading benefits, called BENEfits4U. Our comprehensive offering includes: affordable medical, dental, and vision care;

flexible spending accounts; life insurance; 401k with company match and much, much more.
** Job Description**## What You'll Do
** Learn the Data Environment
*** Assist senior team members in building and maintaining tables, schemas, and data models inside Microsoft Fabric to support Power BI dashboards.
* Help translate business requirements (provided by the BI Business Analyst) into clean, well-organized data structures, with guidance from senior engineers.
* Write SQL queries and basic Python scripts to transform and clean data, learning best practices along the way.
* Document tables, transformations, and pipelines clearly so the team can rely on your work.
** Support Pipeline Development
*** Contribute to data pipelines that bring information from source systems (such as ERP and other business platforms) into our Fabric environment.
* Help schedule and monitor pipelines, learning how to identify and troubleshoot common failures.
* Suggest small improvements to reduce manual work and improve data quality.
** Build Reporting Skills
*** Work with the team to maintain semantic models and datasets used by Power BI report developers.
* Practice writing DAX measures and calculated columns under the guidance of senior team members.
* Learn data modeling fundamentals such as star schema design and the medallion architecture (Bronze / Silver / Gold layers).
** Collaborate and Grow
*** Participate in sprint planning, code reviews, and design discussions — your questions are welcome.
* Communicate progress, blockers, and questions clearly to teammates and stakeholders.
* Take advantage of training, certifications, and mentorship to expand your skills over time.## Skills We're Looking For We do not expect candidates to be experts in every area. Foundational knowledge — from coursework, bootcamps, internships, or personal projects — is enough for required skills. Preferred skills are nice-to-haves and can be learned on the job.
** Skill / Technology
**** Expected Level
**** Classification
* * SQL Foundational Required Python Foundational Required Power  BI & DAXBeginner / Exposure Required Microsoft  Fabric Willingness to learn

Required

Data Modeling Concepts Beginner / Coursework Required Py Spark Exposure Preferred Git  / Version Control Familiarity Preferred ERP Systems Awareness Preferred ## Qualifications
** Required
* ** Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field — OR equivalent practical experience (bootcamp, internships, certifications, or hands-on projects).
* 0–2 years of professional experience. Internships, capstone projects, and significant personal projects count.
* Foundational SQL skills — comfortable writing SELECT, JOIN, GROUP BY, and basic aggregate queries.
* Basic Python skills for working with data (e.g., pandas, simple scripts, notebooks).
* Some exposure to Power BI or another visualization tool, even if only through coursework or self-study.
* Understanding of basic data concepts such as tables, relationships, and joins.
* Strong written and verbal communication skills, and a willingness to ask questions.
* Eagerness to learn Microsoft Fabric, DAX, and modern data engineering practices on the job.
** Preferred (Nice to Have)
*** Coursework, certifications, or hands-on practice with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Azure Data Lake.
* Familiarity with PySpark or distributed data processing concepts.
* Awareness of ERP systems and how business data is typically structured.
* Experience using Git for version control.
* Microsoft certifications such as DP-900 (Azure Data Fundamentals), PL-300 (Power BI Data Analyst), or DP-600 (Fabric Analytics Engineer).
* Personal projects, Git Hub portfolio, Kaggle work, or contributions to open-source data projects.
* If you enjoy innovation, and an opportunity to learn and contribute to a growing organization, CSP is the place for you!
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