Data Engineer (Senior to Staff level) (AI)
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Описание вакансии
TL;DR
Data Engineer (Senior to Staff level) (AI): Architecting and scaling the data infrastructure that powers the company with an accent on pipeline reliability, data quality, and AI-driven content operations. Focus on building robust ELT/ETL pipelines, optimizing BigQuery performance, and establishing engineering standards across the data ecosystem.
Location: Must be based in San Francisco, CA; hybrid role requiring 2 days per week in the office.
Salary: $180,000–$240,000 annually.
Company
.io is a modern, AI-powered content operating system that treats content as data, enabling personalized and automated content workflows for global brands.
What you will do
- Architect and maintain the data ecosystem, including pipelines, integrations, and the data warehouse.
- Partner with engineering teams to implement and scale product telemetry across product surfaces.
- Build monitoring, alerting, and logging to ensure pipeline health, data lineage, and system performance.
- Implement SLAs/SLOs and develop data quality monitoring to proactively catch anomalies and schema issues.
- Maintain the data team's evaluation framework to support growing AI use cases.
- Drive platform-wide engineering standards including CI/CD, testing frameworks, and documentation.
Requirements
- Must be based in San Francisco and able to work from the office 2 days per week.
- 5+ years of experience architecting data warehouse and pipeline infrastructure.
- Strong expertise in SQL and Python.
- Fluent in dbt, workflow orchestration tools (e.g., Dagster, Airflow), and ELT/event tooling.
- Hands-on experience with Google Cloud Platform, BigQuery, and IaC tools like Terraform.
- Experience with AI-assisted development tools integrated into engineering workflows.
Culture & Benefits
- Supportive and highly-skilled team environment.
- Flexible and trust-based work culture.
- Comprehensive health plans and perks.
- Focus on work-life balance accommodating individual and family needs.
- Opportunity to work with a diverse group of global colleagues and customers.
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