Overview:

Senior Data Engineer on Cloud (Banking & Payments)

Location: Minneapolis, MN

Experience: 10+ Years

Domain: Financial Services (Banking + Payments)

T ech Stack: Cloud (AWS / Azure / GCP), Python, Jupyter, DataRobot (preferred)

About the Role

We are seeking a Senior Data Engineer on Cloud with 10+ years of experience to support high-impact initiatives within Banking and Payments . Based in Minneapolis, MN , this role partners with Business Intelligence, Data Science, Data Engineering, Data Products, Marketing Analytics, UX/CX Research , and Personalization teams to deliver scalable, cloud-based data solutions and enable advanced analytics and machine learning use cases.

Key Responsibilities

Design, build, and maintain cloud-based data pipelines and data products supporting BI, analytics, and ML use cases. Collaborate with Domain Data Stewards and Data Product Owners to translate business needs into scalable data solutions. Enable advanced analytics and ML workflows by preparing high-quality, reliable datasets. Extract insights from domain-specific financial data and support model development. Communicate insights and recommendations via dashboards, reports, visualizations, and presentations . Analyze gaps between business requirements and existing systems ; propose optimal functional solutions. Demonstrate strong client management and leadership skills in cross-functional environments. Must-Have Skills & Qualifications

10+ years of experience in data engineering / analytics roles. Strong Financial Services experience - Banking & Payments (mandatory) . Hands-on experience with Cloud platforms : AWS, Azure, or GCP. Strong programming skills in Python ; experience using Jupyter Notebook . Solid foundation in data engineering : ETL/ELT, data pipelines, data modeling, data quality. Ability to translate business requirements into data-driven solutions . Excellent stakeholder communication and presentation skills. Good-to-Have Skills

Experience with DataRobot or other AutoML tools. Exposure to Marketing Analytics, Personalization, Web Content Publishing . Support of UX Research, CX Analysis, and Market Research teams. Familiarity with data governance and working with data stewards.