Senior Manager, Software Engineering – Data

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Credit Acceptance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

💸 Finance

💳 Fintech

Finance • Fintech • Automotive

Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.

📋 Description

• Lead, coach, and develop a team of data engineers, providing clear direction, feedback, and career growth opportunities • Foster a culture of ownership, accountability, and continuous learning • Drive strong engagement through effective 1:1s, performance management, and team development planning • Own the successful delivery of end-to-end data pipelines and platform capabilities across batch and streaming architectures • Ensure high standards for data quality, scalability, reliability, and observability • Partner with Product, Analytics, and Business teams to ensure delivery aligns with business needs • Provide architectural guidance and technical direction across the data domain • Ensure adherence to engineering standards, best practices, and design principles • Champion coding standards, testing practices, and CI/CD adoption to ensure high-quality, production-grade systems • Serve as the primary point of contact for stakeholders within the data domain • Communicate progress, risks, and outcomes clearly to both technical and non-technical audiences

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent experience • 6+ years of software engineering experience, with strong expertise in data platforms and systems • 6+ years of people leadership experience managing engineering teams • Strong background in: Data Lake and Lakehouse architectures • Data engineering and pipeline development (batch and streaming) • Programming (Python, SQL, PySpark) and data modeling • Cloud data platforms and distributed systems • Experience delivering enterprise-scale data solutions • Demonstrated ability to lead teams in Agile environments

🏖️ Benefits

• Flexible work options including work from home, on site and hybrid positions • Company provided technology packages for all Team Members • An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members • Extensive growth opportunities as demonstrated by our track record of promoting internally • Ongoing business training and career development opportunities • Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses • Generous PTO and holidays that include 27.5 total days during first full year of employment • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work