Senior Disputes Data Engineer
Listed on 2026-10-30
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IT/Tech
Data Engineering, Data Warehousing
Join the People Helping People Velera is the nation’s premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose:
We accelerate partners’ success through innovative financial technology solutions and inspired service.
The Senior Data Engineer is responsible for architecting, designing, developing, and optimizing enterprise‑scale data platforms, analytical data models, and data integration solutions. Design and build data structures, schemas, and pipelines from the ground up rather than solely maintaining existing assets. Provide technical leadership across SQL engineering, ETL/ELT development, cloud platforms, API integrations, data modeling, performance optimization, and enterprise data governance.
Day in the Life- Design, develop, deploy, and optimize enterprise‑scale data solutions supporting analytics, reporting, business intelligence, and operational workloads.
- Architect and build scalable data structures, schemas, dimensional models, and enterprise data pipelines from the ground up.
- Design, develop, optimize, and support ETL/ELT frameworks and automated data integration processes.
- Develop and maintain API integrations and automated data‑ingestion frameworks supporting multiple internal and external source systems.
- Design and implement cloud‑native data solutions utilizing Azure, AWS, Snowflake, Databricks, Synapse Analytics, or equivalent technologies.
- Lead database performance tuning initiatives including indexing strategies, workload optimization, execution‑plan analysis, and query optimization.
- Develop expert‑level SQL solutions utilizing CTEs, window functions, advanced joins, stored procedures, analytical functions, and relational modeling principles.
Bachelor’s degree in Computer Science, Management Information Systems, related technology field, or equivalent combination of education and experience preferred.
Experience- Minimum 5+ years of progressively responsible experience in Data Engineering, Data Warehousing, Analytics Engineering, Data Integration, Business Intelligence, or related disciplines.
- Demonstrated experience building enterprise‑scale data architectures, ETL/ELT pipelines, and cloud‑based data platforms.
- Experience integrating data from APIs, databases, flat files, cloud platforms, and third‑party applications.
- 5 years of experience in SQL development (including query creation and modification, dataset creation, table maintenance, and large‑scale data analysis) or MIS reporting and analysis required.
- 2 years of experience creating and modifying macros, queries and tables.
- Power BI expertise including DAX, Power Query, data manipulation, complex visualizations, dashboards, and calculations.
- Experience working with other BI tools such as Qlik Sense, and Tableau Data modeling, ETL/data pipeline, and metadata governance experience.
- Knowledge of disputes, chargebacks, fraud operations, and case‑management systems preferred.
While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. Specific vision abilities required by this job include close vision. Ability to occasionally lift/move up to 25 pounds. Individuals with a disability who are otherwise able to perform the essential functions of the job may request a reasonable accommodation through the Human Resources department.
ServiceStandards and Expectations
Deliver exceptional service to internal and external…
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