Data Developer

***This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2027***

What does it mean to be a Data Developer at GLS?

As a Data Developer, you will be responsible for building fast, reliable, transparent, and scalable business-focused information systems. You will design and build standardized ETL processes used to populate the data warehouse and feed data to stakeholders and business partners. You will also design and develop dashboards and reports that are distributed throughout the organization and to external partners.

How will you drive value within the organization as a Data Developer?

• Design, build, enhance, and maintain fault-tolerant batch-based and real-time ETL processes to make new and existing data sources readily available to analysts, applications, and external business partners
• Design and build data warehouses/data lakes/data marts to provide easy access to structured and semi-structured data for analysts and data scientists
• Design, build, enhance, and maintain Power BI and SSRS reports and dashboards working from specification documents and/or direct interaction with business users
• Automate manual data processes and optimize user queries
• Decipher existing reports and database processes to assist users, analysts, and data stewards in understanding reports
• Set up internal and external secure data exchanges using industry-standard encryption techniques
• Implement data security measures to protect PII and other sensitive information
• Integrate processes and tools to monitor and improve data quality and system stability as prescribed by the data governance team
• Complete work with an emphasis on efficiency, quality, and maintainability

What should you already know to be successful as a Data Developer?

• Minimum of bachelor’s degree required
• Professional or educational experience in ETL, Business Intelligence, or Statistical Analytics required
• Strong understanding of SQL including basic joins, inserts, updates, deletes, conditional logic, subqueries, temp tables, and data transformation functions
• Proficient knowledge of relational database management systems required
• Experience reviewing datasets for data quality required
• Experience with un- or semi-structured data (ex. XML, JSON) preferred
• Experience with any data integration tool preferred
• Experience with reporting platform like Power BI and SSRS preferred
• Experience with different data security algorithms preferred
• Intrinsically motivated with demonstrated ability to take initiative, identify needs, make recommendations for improvement, see recommendations through implementation, and evaluate improvements for effectiveness
• Strong verbal and written communication skills
• Team player that can adapt in a fast pace and changing environment
• Commitment to exemplifying the organizational core values and key competencies

Employment Requirements:

• This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, days and hours of work are flexible between the hours of Monday through Friday, 8:00am-6:00pm with a minimum expectation of 40 hours per week
• Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity.
• Remain in a stationary position up to 100% of the workday.
• Constantly operate a computer and other standard office equipment
• Job functions involve sedentary to light physical effort. Physical demands range from sitting, walking, standing, or pushing or pulling materials. Work may involve exerting up to 10 pounds of force to lift, carry, push, pull, or move objects.
• Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling.
• The position does not require travel, though travelling opportunities may arise