Senior Data Developer

Why GLS?

Purpose: Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one’s family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That’s what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs.

People: Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar.

Growth: Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!

Benefits: GLS offers the below great benefits for your amazing work!

o Competitive base pay and performance bonuses, dependent on role

o Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability

o 401K with employer match and 100% immediate vesting

o Paid Time Off (PTO) and paid company holidays to help you balance work and personal life

o Paid Volunteer Time Off (VTO) Annually

o Tuition Reimbursement

o Parental Leave

o Business casual work environment

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

The Senior Data Developer is responsible for building and maintaining scalable batch and real-time data pipelines. This role will also work on Business Intelligence functions including but not limited to identifying data, analyzing data, and delivering data-driven insights using various query tools, data visualizations, and interactive dashboards. This role is also responsible for building data quality frameworks and helping establish data processing and design pattern standards.

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

• Design, build, enhance, and maintain reusable and fault-tolerant ELT/ETL pipelines to make new and existing data sources readily available to analysts, applications, and external business partners
• Design, build, enhance, and maintain both historical and real-time interactive dashboards and reports that are to be used by analysts, applications, and external business partners
• Achieve strong proficiency in the DW data integration stack (Snowflake, Prefect, etc.) with the ability to evaluate multiple solutions for a given problem
• Automate manual data processes, optimize user queries, and facilitate data research and understanding while partnered with analysts and business specialists
• Set-up secure data exchanges using industry standard encryption techniques
• Integrate processes and tools to monitor and improve data quality and system stability as prescribed by the data governance team
• Participate in making architectural decisions for the data team
• Mentor junior team members and analysts
• Help build standards around development practices; document processes; and champion their use across teams
• Review and provide feedback to other developers and analysts with an emphasis on efficiency, quality, and maintainability
• Foster a collaborative culture that facilitates the achievement of business plan objectives by working closely with other associates and members of management
• Perform additional assignments and special projects as required by the needs of the company or as directed by management

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

• Minimum of bachelor’s degree required
• Minimum of three (3) years’ experience in designing, developing, and building ETL/ELT pipelines, procedures on MPP platforms
• Minimum of three (3) years’ experience in building data graphs and charts to communicate useful insights in the data
• Experience in designing and building metadata driven data ingestion frameworks and event-driven data processing jobs
• Must be proficient in SQL including joins, inserts, updates, deletes, conditional logic, subqueries, temp tables, and complex data transformation functions
• Experience with data integration tools like Airflow, Prefect or a similar tool is required
• Experience with programming languages i.e. Python or R is required
• Experience with Power BI, SSRS, or similar tools is required
• Experience reviewing datasets for data quality required
• Experience with unstructured or semi-structured data (ex. XML, JSON) required
• Experience with streaming data ingestion is a plus
• Experience with different data security algorithms and masking data is a plus
• Intrinsically motivated with demonstrated ability to take initiative, identify needs, make recommendations for improvement, see recommendations through implementation, and evaluate improvements for effectiveness
• Financial Services and process improvement experience a plus
• 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:

• Must be able to work at a desk/in a seated position up to 100% of the workday
• Must be able to constantly operate a computer and other standard office equipment
• Must be able to talk and hear to exchange accurate information
• Must have close visual acuity to perform activities such as: preparing and analyzing data and figures; viewing a computer terminal; extensive reading
• This position is full-time
• This position does not require travel

2023 California Applicant Privacy Notice

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Please visit www.glsauto.com for information about our great company and other amazing opportunities

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Family and Medical Leave Act (FMLA) 

Equal Employment Opportunity (EEO) 

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