Fullstack Engineer (Data Products)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Fullstack Engineer (Data Products): Build customer-facing data products for a data platform, including in-dashboard SQL, bulk exports, and AI-powered analytics with an accent on backend services, APIs, and query-layer performance over large datasets. Focus on designing reliable, performant, and secure data-intensive features while collaborating closely with product, design, and data science.
Location: Remote (San Francisco Bay Area)
Salary: $130K–$220K (base) + equity
Company
is a configurable identity platform that helps businesses verify individuals and organizations in a digital-first world.
What you will do
- Build and grow customer-facing data products, including in-dashboard SQL and custom/bulk data exports.
- Develop AI-powered and agentic analytics tools that let users ask questions of their data in natural language.
- Build backend services, APIs, and the query layer powering high-volume, real-time access to large datasets.
- Partner with product and design to translate customer and business needs into reliable, performant, data-intensive features.
Requirements
- 3+ years of software engineering experience building data-intensive products or backend services.
- Proficiency in a backend language (Python, Ruby on Rails, or Go) and comfort shipping end-to-end across the stack.
- Experience building user-facing products or APIs backed by large datasets with strong attention to performance, correctness, and security/PII handling.
- Working familiarity with SQL and analytical data stores (e.g., Snowflake, ClickHouse).
- Excellent communication and collaboration skills with product and design.
Nice to have
- Experience building AI/LLM-powered applications or agentic tooling.
- React experience.
- Google Cloud (GCP) experience.
- Semantic layers experience.
Culture & Benefits
- Full-time US-based benefits include medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, and professional development stipend.
- Quarterly mental health days and wellness benefits.
- Equity included as part of total compensation.
- Interview process includes identity verification with for candidate verification only.
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