Staff Software Engineer, Data (Employer of Record)

Posted 12 Hours Ago
Be an Early Applicant
Hiring Remotely in India
Remote
4M-5M Annually
Senior level
Financial Services
The Role
Senior technical leader responsible for designing, building, and scaling cloud-native data platforms and pipelines. Partners with stakeholders, mentors engineers, enforces engineering best practices, ensures data modeling, governance, and quality, debugs production issues, and contributes to architecture, design, and Agile delivery to support business outcomes.
Summary Generated by Built In

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
  • Ability to foster strong relationships across the organization
  • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
  • Experience and understanding of how to connect the work being done and how it drives business value
  • Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership

CTC Range: ₹ 37,15,614 - ₹ 54,49,568

Total Compensation (CTC): Final CTC will be shared during the offer stage and will include all compensation components in detail as per EoR vendor's structure. 

Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.

INDENGLP

#LI-Remote

This role is hired through an Employer of Record (EoR) partner in India.

  • You will be legally employed in India through our EoR partner

  • While your legal employer is the EoR partner, you will work full-time and be fully aligned to Credit Acceptance

  • Your day-to-day work, responsibilities, and performance expectations will be consistent with our global team members

  • You will receive locally compliant payroll, benefits, and statutory coverage through the EoR partner


Our Company Values:

To be successful in this role, Team Members need to be:

  • Positive by maintaining resiliency and focusing on solutions.

  • Respectful by collaborating and actively listening.

  • Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions.

  • Direct by effectively communicating and conveying courage.

  • Earnest by taking accountability, applying feedback and effectively planning and priority setting.

Expectations:

  • Regularly overlap with U.S. business hours to support collaboration with global team members.

  • Remain compliant with our policies, processes and guidelines

  • All other duties as assigned

  • Attendance as required by department

Play the video below to learn more about our Company culture.

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
  • Minimum 8 years of software engineering experience with recent experience building on cloud data platforms
  • Experience in a lead role overseeing technical direction of a data engineering team
  • Strong understanding of one or more data engineering languages (Python, Java, Scala)
  • Practical experience with 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 data quality frameworks
  • Experience working on mission-critical enterprise-class applications
  • Demonstrated ability to coach and mentor less experienced team members
  • Expertise in Apache Spark
  • Strong working knowledge of Databricks (Delta Lake, Unity Catalog, DLT, Auto Loader)
  • Hands-on experience with AWS data services (S3, Glue, Lambda, MSK)
  • Financial services or FinTech industry experience

Credit Acceptance Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Credit Acceptance Corporation and has not been reviewed or approved by Credit Acceptance Corporation.

  • Fair & Transparent Compensation Pay is described as competitive and fair for the role, and overall compensation is framed as a clear strength. Total compensation is also positioned as strong relative to comparable employers, reinforcing perceived fairness.
  • Strong & Reliable Incentives Bonuses, profit sharing, and performance-based commission are repeatedly highlighted as meaningful add-ons to base pay. Incentive opportunities are presented as especially attractive in sales and market-facing roles, including uncapped earning potential.
  • Healthcare Strength Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life, and disability protections. Day-one eligibility is emphasized as a differentiator that increases the practical value of the package.

Credit Acceptance Corporation Insights

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The Company
HQ: Southfield, MI
1,937 Employees
Year Founded: 1972

What We Do

Our people and culture create a positive workplace that drives us to succeed. Working together as a team has resulted in many national workplace awards, including Fortune magazine’s annual “100 Best Companies to Work For” list for 7 consecutive years. We’ve also been named to IDG's Computerworld Best Places to Work in IT-Midsize category for the past five years. Based on 2021 survey data, 92% of our team members believe Credit Acceptance is a Great Place to Work (GPTW). At Credit Acceptance, we are passionate about what we do. Our team members are intelligent, motivated, compassionate people who work hard and know how to have fun. We offer a strong work-life balance with many great benefits that start on day one. We focus first and foremost on striving to make our Company as valuable as possible, because we know it is the core of our success. Our team members are motivated by their desire to “Change Lives,” as well as by their fellow colleagues, Company leaders, competitive compensation, and career advancement opportunities. Loans made or arranged pursuant to a California Finance Lenders Law license.

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