2 months ago
Base Salary
$285k - $380k/yr
Responsibilities
- Refactor and optimize BigQuery tables, including scalable architectures, partitioning, and dimensional models.
- Build and maintain dbt and Fivetran ETL/ELT pipelines using Google BigQuery to integrate Workday, Greenhouse, and internal-tool data.
- Develop reliable real-time and batch data flows with error handling, monitoring, freshness controls, and automated data-quality validation.
- Implement data governance through documentation, lineage tracking, quality monitoring, proactive alerting, and access controls.
- Create semantic layers, reusable datasets, and standardized recruiting metrics such as offer accept rate, time to fill, and headcount movement.
- Partner with data scientists, software engineers, recruiting teams, and other stakeholders to develop scalable recruiting analytics data products.
Requirements
- Expertise in BigQuery, including optimization and partitioning.
- Experience building dimensional models and understanding slowly changing dimensions.
- Proficiency in SQL, Python, dbt, and Fivetran.
- Experience implementing data security and privacy controls in cloud data warehouses.
- Ability to translate HR concepts into scalable data models and communicate with technical and business stakeholders.
- Preferred: 5+ years of data engineering experience.
- Preferred: familiarity with Greenhouse or Lever and their data structures.
- Preferred: experience with semantic layers for data agents, survey-data and text-analytics pipelines, graph databases or network-analysis libraries, privacy-enhancing technologies, sensitive-data handling, workforce planning, or predictive analytics.
Benefits
- Annual compensation range is $285,000–$380,000 USD.
- Hybrid policy currently expects staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Anthropic sponsors visas and will make every reasonable effort to obtain a visa after extending an offer, with immigration-lawyer support.
- Benefits include competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Minimum education is a bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study may be demonstrated through coursework, training, or professional experience.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.