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Staff Software Engineer, Data (Employer of Record)

Credit Acceptance · Work from home
Work from home
Pay₹37.2L–54.5La year, as listed
WhereWork from home
TypeFull timeSenior
Posted17 Sep29 days ago, via Himalayas
Skills they list9 named
Data EngineeringData Platform EngineeringCloud Data EngineeringSenior Data EngineeringStaff Backend Software EngineerSoftware EngineerStaff AI Software EngineerStaff Data ScientistData Engineer
About this job

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 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

Competencies
The following items detail how you will be successful in this role.

Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.

Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.

One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.

Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

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

Preferred

Expertise in Apache Spark

Strong working knowledge of Databricks (e.g., Delta Lake, Unity Catalog, DLT, Auto Loader)

Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK)

Financial services or FinTech industry experience

Knowledge and Skills

Ability to challenge the status quo and influence stakeholders to create innovative solutions

Be collaborative with other team members, seeking a diversity of thought to meet business outcomes

Abili

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