About The Role
We are seeking a mid-level Software Engineer with strong Python experience to join our growing engineering team. You will design, build, and maintain scalable applications and services, collaborate cross-functionally, and help drive best practices in coding, testing, and deployment.
This role is ideal for an engineer who is comfortable working in fast-moving environments and is passionate about building high-quality software.
This is a 1099 independent contractor position.
Key Responsibilities
- Design, develop, and maintain backend services, APIs, and data pipelines using Python.
- Migrate and convert existing SAS code to Python, ensuring functionality and performance parity.
- Collaborate with product managers, designers, and fellow engineers to define requirements and deliver solutions.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews and provide constructive feedback.
- Debug, troubleshoot, and improve application performance and reliability.
- Contribute to architectural discussions and implementation strategies.
- Help automate workflows and improve development processes.
- Maintain documentation of systems, workflows, and features.
- Support production systems and participate in on-call rotations (if applicable).
Required Qualifications:
- Bachelor’s Degree
- Candidates must be based within 1 Hr. commuting proximity to our office in the San Francisco Peninsula
- 3–5 years of professional software development experience.
- Strong proficiency in Python and familiarity with frameworks such as Django, Flask, or FastAPI.
- Experience building RESTful or GraphQL APIs.
- Solid understanding of software engineering fundamentals: data structures, algorithms, OOP.
- Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
- Familiarity with version control (Git) and CI/CD pipelines.
- Working knowledge of cloud platforms (AWS, GCP, or Azure).
- Ability to write unit/integration tests.
- Excellent problem-solving and communication skills.
Preferred:
- Experience with AWS services (Lambda, EC2, DynamoDB, S3, API Gateway, etc.).
- Experience with containerization (Docker, Kubernetes).
- Data pipeline or ETL experience.
- Experience with Terraform for infrastructure as code.
- Experience with monitoring and observability tools.
- Experience with SAS.
- Exposure to Agile/Scrum methodologies.
Compensation: $70 - $80/HR
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VantageScore delivers the most innovative and predictive credit score models that lenders use to expand access, improve risk assessment, and modernize credit decisioning.
Key team members
Andrada Pacheco, Ph.D.
Ashley Kiss
Jamie Lin
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