Staff Software Engineer, Data

October 23

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Credit Acceptance

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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.

1001 - 5000 employees

Founded 1972

💸 Finance

💳 Fintech

📋 Description

• 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 software against acceptance criteria. • Evolve and transform the design and architecture of applications towards leading edge technologies and practices. • Author, apply and advocate for team coding, documenting and testing standards. • Conduct impact analysis to proactively identify impact of a change across multiple applications. • Learn the business process domain to better support the business and align technologies with the business process. • Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions. • Lead code reviews and communicate application changes. • Document code and projects so others can easily understand, maintain and support. • Debug the problems which arise in production and propose effective solutions within the application and across multiple applications. • Read, write and review design documents. • Contribute to team's sprint commitments and actively participate in our Agile practices, including recommendations for process improvement. • Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge. • Participate in the talent selection process.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience • Minimum 8 years of software engineering experience or comparable depth of experience, with recent experience building on cloud data platforms • Experience in the lead role overseeing technical direction of a team of data engineering talent • Strong understanding of one or more programming languages commonly used in data engineering (e.g., Python, Java, Scala) • Practical experience in Software Development Life Cycle (SDLC) including Agile/SCRUM and Waterfall • Experience designing scalable batch and streaming pipelines • Strong understanding of data modeling, schema design, and lakehouse principles • Experience with data governance, lineage, and quality frameworks • Experience working on mission-critical enterprise-class applications • Demonstrated ability to coach and mentor less experienced team members

🏖️ Benefits

• 401(K) match • adoption assistance • parental leave • tuition reimbursement • comprehensive medical/ dental/vision • many nonstandard benefits that make us a Great Place to Work