Data Systems Engineer

Vytl Controls Group

Baton Rouge (LA)

Hybrid

USD 90,000 - 150,000

Full time

14 days+

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Job summary

Vytl Controls Group is seeking a Data Systems Engineer to design and deliver scalable data solutions enabling analytics, reporting, and data integration. You will support the Director of Data Systems in shaping enterprise data platforms, data models, and governance.

The role requires hands-on work with Power BI dashboards, ETL/ELT pipelines, and cloud data platforms like Microsoft Fabric. You will collaborate with stakeholders to translate business needs into reliable data products and

Qualifications

  • Bachelor’s degree or equivalent experience in information systems or data engineering.
  • 5+ years writing complex SQL and working with data models.
  • 2+ years developing and maintaining ETL/ELT processes.
  • Experience with Microsoft Fabric or similar cloud data platforms.

Responsibilities

  • Design, develop, and maintain enterprise data platforms (data lake, warehouse, lakehouse).
  • Collaborate with stakeholders to develop reporting solutions, data extracts, and models.
  • Build and maintain data pipelines and ETL/ELT processes.
  • Ensure data quality, integrity, and consistency across platforms (Power BI, Azure).
  • Support data visualization and reporting initiatives, including Power BI dashboards and semantic models.
  • Deliver objectives on time and with quality; contribute to data governance and standards.

Skills

SQL queries
Data modeling
ETL/ELT development
Power BI
Python
DAX
Excel
VS Code
SQL Server Management Studio
Microsoft Fabric / cloud platforms

Education

Bachelor’s degree in Information Systems, Data Engineering, Data Science, or a related field

Tools

Power BI
Power Platform
Python
DAX
Microsoft Dynamics D365
VS Code
SQL Server Management Studio
Excel

Job description

Posted Wednesday, June 3, 2026 at 6:00 AM

Position Summary

We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.

The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.

Key Responsibilities
  • Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
  • Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
  • Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
  • Deliver project objectives on time, within scope, and with a high level of quality
  • Contribute to data governance, standards, and best practices
Experience & Education
  • Bachelor’s degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
  • 5+ years of experience writing complex SQL queries and working with data models
  • 2+ years of experience developing and maintaining ETL/ELT processes
  • Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions
Technical Skills & Tools
  • Power BI and Power Platform
  • Python
  • DAX
  • Microsoft Dynamics D365 (preferred)
  • Advanced SQL (T-SQL)
  • Excel (advanced data manipulation)
  • Development tools such as VS Code and SQL Server Management Studio
Core Competencies
  • Ability to manage multiple concurrent projects and priorities in a fast-paced environment
  • Strong problem-solving and analytical skills
  • Excellent communication skills with the ability to translate technical concepts for business stakeholders
  • High attention to detail and commitment to data quality
Additional Requirements
  • Ability to travel as needed
  • Valid driver’s license with a clear driving record
  • Successful completion of background check and drug/alcohol screening
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