Data Engineer - Credit Informed Acquisition

Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601   

 

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future.  Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending.  Providing services in over 23 states, Purpose Financial employs over 2,500 team members.

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

• Competitive Wages
• Health/Life Benefits
• Health Savings Account plus Employer Seed
• 401(k) Savings Plan with Company Match
• 3 Weeks of Paid Parental Leave
• 11 Company Paid Holiday's
• Paid Time Off including Volunteer Time
• Vacation Carryover
• Tuition Reimbursement
• Work-Life Balance
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid)

To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

Purpose Financial is looking for a skilled and motivated Data Engineer to join our growing Credit Informed Acquisition Team.

This role will focus on building, scaling, and maintaining critical data infrastructure for two of our key programs: Next Best Call and Prescreen Acquisition. These initiatives are central to our customer acquisition and retention strategies, and you will have the opportunity to work on projects that directly impact business growth.

Job Responsibility

Next Best Call 

• Collaborate with team members to optimize the Next Best Call program, which supports customer and prospect outreach for branch and centralized calling efforts.
• Engineer and manage data pipelines integrating internal and third-party data sources (e.g., credit bureaus, telecommunications data) into Snowflake.
• Develop and maintain a single source of truth for calling logic, contact prioritization, historical metrics, and performance tracking.
• Implement and optimize algorithms that dynamically prioritize call queues based on business rules.
• Ensure data pipelines and workflows are accurate, scalable, and efficient to support real-time decision-making.
• Partner with stakeholders to evaluate system performance and recommend improvements for scalability and reliability.

Job Responsibilities Cont.

Prescreen Acquistion

• Lead the design and orchestration of data workflows supporting Prescreen Acquistion program, including integrating multiple credit bureau data sources.
• Incorporate and operationalize machine learning models to enhance prescreen selection processes.
• Monitor and maintain the prescreen data marts, ensuring timely and accurate campaign data availability.
• Build and automate a task-tracking system for campaign deliverables to improve operational efficiency.
• Leverage tools like Tableau to develop reporting dashboards for campaign performance and operational insights.

Education Required

Master’s degree in computer science, data engineering, or a related field. Equivalent experience will also be considered.

Experience Required

• 1-3 years in a data engineering, data science, or similar technical role.
• Experience working with marketing or sales programs, particularly in customer acquisition.
• Strong knowledge of Snowflake or similar cloud-based data warehousing platforms.
• Advanced SQL skills for querying and managing large datasets.
• Proficiency with ETL/ELT tools (e.g., dbt, Matillion, Airflow).
• Experience with Python or a similar programming language for data processing.
• Familiarity with Tableau or other BI tools for visualization.
• Understanding of machine learning concepts and their application to predictive analytics (preferred).

Knowledge Required

Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.

Competencies

Achieve Desired ResultsAction-OrientedAnalysis/Problem SolvingCustomer CommitmentOKRPurpose-DrivenVision-Driven

Travel

5%

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition ID: 44521