Software Engineer, Data Governance - job 1 of 2
Skills
- Proficiency in Python or Go (or similar languages) and strong coding/problem-solving skills.
- Experience with server-side frameworks (e.g., Django, Go frameworks).
- Familiarity with Kubernetes and cloud-native development on AWS.
- Experience building backend services, APIs, and automation tooling.
- Strong communication skills and ability to work cross-functionally with product, privacy, and ML teams.
Responsibilities
- Design and build backend services and automation frameworks to govern data usage, retention, and access policies across online and analytical systems.
- Partner with AI/ML, Risk, and Privacy teams to operationalize governance for ML models and agentic AI workflows.
- Enable governance for offline analytical systems and new data infrastructure workflows.
- Build internal tools and automation to improve auditability, data integrity, and privacy-by-design across infrastructure.
- Own end-to-end delivery from design and prototyping to production deployment, driving measurable improvements in data reliability and compliance readiness.
Education
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- Advanced degree in a related discipline is a plus but not required.
Benefits
- Competitive base pay with bonus opportunities, equity, and performance multipliers.
- 100% paid health insurance for employees and ~90% coverage for dependents.
- 401(k) matching and employer-paid life & disability insurance.
- Lifestyle wallet for wellness and learning, fertility and mental health benefits.
- Paid time off, parental leave, company holidays, and flexible benefits.
- Exceptional office experience with catered meals, events, and collaborative spaces.
Average salary estimate
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