Sr. Staff Back-end Engineer, Data - job 1 of 2
Skills
- Deep knowledge of data infrastructure and analytics platforms
- Strong data modeling and SQL proficiency
- Familiarity with data science tools and ML lifecycle concepts (training, validation, inference)
- Experience with large-scale distributed systems and performance tuning
- Proven track record deploying and operating cloud-native services (AWS and/or GCP)
- Experience designing data ingestion, transformation, and serving pipelines
- Understanding of experimentation methodologies (A/B testing, multivariate testing)
- Software engineering fundamentals: version control, CI/CD, production-quality code
- Good written and verbal communication; ability to present technical topics to non-technical audiences
- Experience with containerization and orchestration (containers, serverless, Kubernetes)
Responsibilities
- Lead architectural design and technology selection for core data platform services and components
- Evolve analytical ecosystems to enable advanced data capabilities including data lakes, pipelines, and GenAI workflows
- Drive technical decisions across systems, services, algorithms, operations, and processes
- Collaborate with cross-functional engineering teams to produce detailed designs and implement end-to-end features
- Partner with internal clients (MLEs, BAs, Data Engineers, product teams) to gather requirements and promote platform adoption
- Own reliability, scalability, and performance tuning for services serving millions of users
- Design and improve experimentation capabilities (A/B testing, statistical analysis) for product decisions
- Promote best practices in CI/CD, cloud operations, observability, and incident response
Education
- BS, MS, or PhD in Computer Science or related field, or equivalent practical experience
Benefits
- Competitive base salary and performance-based incentives
- Equity/stock or long-term incentive opportunities
- Comprehensive health, dental, and vision coverage
- Retirement savings plan (401k) and financial benefits
- Flexible paid time off and parental leave policies
- Professional development and training support
Average salary estimate
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