$ cat jobs/staff-software-engineer-data-employer-of-record-credit-acceptance-f385ef0701d7.json
Staff Software Engineer, Data (Employer of Record)
Credit Acceptance is proud to be an award-winning company with workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies in the United States. In this role, you will work as a dedicated member of a globally distributed team, partnering closely with business partners in the U.S. to design, build, and scale solutions that directly impact our customers and operations. While your legal employer will be our EoR partner, you will be fully integrated into our Credit Acceptance team for day-to-day work and collaboration. The Staff Software Engineer, Data is a senior technical leader responsible for designing, building, and scaling cloud-based data platforms that support critical business insights and operations. This role partners across teams to deliver high-quality, reliable data solutions while driving architectural direction and engineering best practices. They bring deep expertise in data engineering, including pipeline design, data modeling, and modern cloud technologies. In addition to technical leadership, they mentor engineers, influence stakeholders, and ensure solutions align with business outcomes. Success in this role requires strong ownership, collaboration, and a commitment to continuous improvement and innovation. Outcomes and Activities: This position will work remotely from India. Design, build, and scale data pipelines across a variety of source systems and streams, including internal, third-party, and cloud-based platforms. Interface with cross-functional teams to extract, load, and transform data using cloud-native data engineering principles. Collaborate with stakeholders to understand data requirements and develop efficient strategies for data acquisition and integration. Write unit-tests and validate your soft
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