1 день назад
Staff Data Engineer (AI)
195 000 - 273 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (AI): Building and operating reliable data platforms, pipelines, cloud services, and warehouse infrastructure for analytics, data science, and AI workflows with an accent on architecture, orchestration, BigQuery reliability, and infrastructure as code. Focus on setting technical direction, improving production observability and cost efficiency, integrating LLM workflows, and mentoring data engineers.
Location: San Francisco or remote in the US/Canada
Salary: $195,000–$273,000 per year plus equity
Company
is building a developer-first cloud platform for AI-native, full-stack, multi-service applications with persistent compute, autoscaling, orchestration, and observability.
What you will do
- Set the architecture and technical direction for the Data Platform and shape its roadmap.
- Build and operate ingestion services, ELT pipelines, APIs, event-driven workflows, and reusable cloud infrastructure.
- Evolve orchestration platforms, worker infrastructure, deployment patterns, and operational reliability.
- Improve BigQuery warehouse performance, cost efficiency, access control, governance, and dbt foundations.
- Establish standards for testing, logging, alerting, observability, version control, CI/CD, and documentation.
- Support analytics, data science, and AI workflows while mentoring data engineers and collaborating across technical and business teams.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including architecture and technical direction.
- Deep expertise in cloud data warehouses such as BigQuery, Databricks, or Snowflake, including modeling, performance, cost management, and access control.
- Strong Python and SQL skills with hands-on experience building ingestion and ELT pipelines and maintainable data models.
- Experience operating Prefect, Airflow, Dagster, or similar orchestration platforms, including deployments, upgrades, workers, and reliability.
- Hands-on experience with cloud infrastructure, Terraform or equivalent infrastructure-as-code tools, APIs, backend services, and event-driven workflows.
- Strong production engineering, communication, cross-functional collaboration, mentoring, and technical leadership skills.
Nice to have
- Experience with ’s data stack, including GCP, BigQuery, Segment, and dbt.
- Experience with developer-focused, product-led, sales-led, or usage-based businesses.
- Knowledge of cloud infrastructure, PaaS, developer tooling, or technically complex products.
- Experience with AI-assisted development tools such as Codex, Cursor, or Claude Code.
Culture & Benefits
- Four weeks of paid vacation and 14 weeks of fully paid parental leave for all parents.
- Employer-paid medical, dental, and vision coverage, with FSA and HSA options.
- Long-term disability, life insurance, and 401(k) plans.
- Monthly lifestyle, phone, and internet subsidies; home-office stipends for remote employees and commuter benefits in the Bay Area.
- Continuous learning benefits and a culture of integrity, feedback, thoughtful debate, and mutual respect.
- The position is generally not eligible for new visa sponsorship; existing visa transfers may be sponsored at ’s discretion with business authorization.
Hiring process
- The interview process is tailored to the role and designed to be thoughtful, respectful, and clear.
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