Senior Software Engineer at HP delivering scalable software and AI solutions. Collaborating with diverse teams and providing technical leadership.
About the role
- Software Engineer II at Credit Acceptance focusing on data pipeline design across various architectures. Collaborating with users to deliver effective data solutions and participating in Agile practices.
Responsibilities
- Design, build, and maintain reliable data pipelines and models across batch and streaming architectures
- Support structured, semi-structured, and unstructured data
- Collaborate with users to enable meaningful data consumption (through structured schemas, dashboards, or semantic layers)
- Contribute to projects, collaborate with team members, and ensure that solutions meet quality and performance standards
- Work closely with senior engineers and stakeholders to deliver effective data solutions that support business needs
- Develop and maintain data pipelines focusing on data quality, reliability, and scalability
- Collaborate with team members to implement data integration strategies based on stakeholder requirements
- Write unit tests and validate software to meet acceptance criteria
- Follow team coding, documentation, and testing standards
- Participate in impact analysis for changes across applications
- Learn business processes to align technical solutions with business needs
- Experiment with new ideas and technologies under guidance from senior engineers
- Participate in code reviews and communicate application changes
- Document code and projects for maintainability and support
- Troubleshoot production issues and assist in proposing solutions
- Contribute to sprint commitments and participate in Agile practices
- Engage in continuous learning to improve technical and domain knowledge.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent work experience
- 2+ years of software engineering experience, preferably with exposure to cloud data platforms
- Proficiency in programming (Python, SQL, etc.), data modeling, and database management (SQL/NoSQL)
- Ability to process structured, semi-structured (e.g., JSON, Parquet), and unstructured data (e.g., logs, text)
- Experience with Agile/SCRUM or Waterfall methodologies
- Familiarity with designing batch and streaming data pipelines
- Understanding of data modeling and schema design principles
- Awareness of data governance and quality frameworks
- Experience working on enterprise-class applications is a plus.
Benefits
- Excellent benefits package that includes 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/dental/vision
- Many nonstandard benefits that make us a Great Place to Work
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