Data Developer: ETL, Data Warehouses & BI Dashboards

Glsllc; Greenville (SC); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

Medical, dental, vision

401K with company match

Paid Time Off

Tuition Reimbursement

Parental Leave

Business casual environment

Job summary

GLS in Greenville, SC is seeking a Data Developer to join our campus recruiting program for May 2027. You will design scalable ETL processes, build data warehouses, and develop Power BI and SSRS reports used by analysts and business partners.

You will collaborate with data professionals to ensure data quality, security, and governance while supporting rapid analytics and decision-making in a dynamic environment.

Qualifications

• Minimum of bachelor’s degree required.
• Professional or educational experience in ETL, Business Intelligence, or Statistical Analytics.
• Strong understanding of SQL including joins, inserts, updates, deletes, conditional logic, subqueries, temp tables, and data transformation functions.
• Proficient knowledge of relational database management systems.
• Experience with data quality, security, and data governance is preferred.

Responsibilities

• Design, build, enhance, and maintain fault-tolerant ETL processes and data pipelines.
• Design and build data warehouses/data lakes/data marts for analysts and data scientists.
• Develop Power BI and SSRS reports and dashboards from specifications or user interaction.
• Automate manual data processes and optimize user queries.
• Ensure data quality and support data governance initiatives.

Skills

ETL

SQL

Data integration

Power BI

SSRS

Data warehousing

Data quality

Data security

Communication

Team player

Education

Bachelor’s degree

Tools

Power BI

SSRS

ETL tools

Job description

GLS in Greenville, SC is seeking a Data Developer to join our campus recruiting program for May 2027. You will design scalable ETL processes, build data warehouses, and develop Power BI and SSRS reports used by analysts and business partners.

You will collaborate with data professionals to ensure data quality, security, and governance while supporting rapid analytics and decision-making in a dynamic environment.