Anthropic Logo

Anthropic

Recruiting Analytics Data Engineer

Posted Yesterday
In-Office
San Francisco, CA, USA
285K-380K Annually
Senior level
In-Office
San Francisco, CA, USA
285K-380K Annually
Senior level
Build and maintain recruiting analytics data infrastructure using BigQuery, dbt, Fivetran, SQL, and Python. Design dimensional models, ETL/ELT pipelines, semantic layers, governance controls, data security, monitoring, and standardized recruiting metrics. Integrate Workday, Greenhouse, and internal systems while supporting batch and real-time analytics. Partner with data scientists, engineers, recruiters, and business stakeholders to deliver trusted data products and AI-enabled workforce insights.
The summary above was generated by AI
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic.

This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.

Key responsibilitiesData Infrastructure & Modeling
  • Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company

  • Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance

  • Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems

  • Ensure appropriate data access controls including row and column-level security for sensitive candidate data

Pipeline Development & Integration
  • Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools

  • Create reliable data flows that handle both real-time needs and batch processing requirements

  • Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness

  • Automate data quality checks and validation across all pipelines

Analytics Engineering & Modeling
  • Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users

  • Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement

  • Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company

Minimum qualifications
  • Are an expert in BigQuery including optimization and partitioning

  • Have built dimensional models and understand slowly changing dimensions

  • Are proficient in SQL, Python, and modern tools like dbt and Fivetran

  • Have implemented data security and privacy controls in cloud warehouses

  • Can translate HR concepts into scalable data models

  • Communicate effectively with both technical and business stakeholders

Preferred qualifications
  • Have 5+ years in data engineering

  • Familiarity with ATS platforms (Greenhouse, Lever) and their data structures

  • Experience with building semantic layers for data agents

  • Experience building data pipelines for survey data and text analytics

  • Knowledge of graph databases or network analysis libraries

  • Background in privacy-enhancing technologies or sensitive data handling

  • Previous experience in high-growth technology companies or AI/ML organizations

  • Familiarity with workforce planning and predictive analytics use cases

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$285,000$380,000 USD
Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

HQ

Anthropic San Francisco, California, USA Office

548 Market St, San Francisco, California, United States, 94104

Similar Jobs

28K-30K Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Coordinates brand initiatives and seasonal content execution, managing packaging, marketing collateral, corporate and foundation requests, samples, timelines, invoices, documentation, and stakeholder communication. The role supports creative and operational teams, tracks sample logistics for photoshoots, maintains project records, and ensures assets are delivered accurately and on schedule. Candidates should be organized, detail-oriented, collaborative, and comfortable managing multiple projects in fast-paced fashion, luxury, or retail environments.
Top Skills: AsanaMicrosoft Office SuiteWorkfront
Expert/Leader
eCommerce • Fashion • Retail • Sales • Wearables • Design
Leads global income tax reporting and compliance technology, data, systems, controls, and process transformation. Supports ASC 740 provision processes, tax calculations, compliance workflows, forecasting, disclosures, SOX controls, provider management, and auditability. Partners with Tax, Accounting, Finance, IT, Internal Audit, auditors, and external providers to automate processes, reduce risk, improve data quality, and scale tax operations. Manages teams, technology roadmaps, co-sourcing initiatives, and cross-functional transformation programs.
Top Skills: Erp SystemsGenerative AiExcelOnesource Income Tax ComplianceOnesource Tax ProvisionTax Technology SystemsWorkflow Automation
2 Minutes Ago
Hybrid
15-24 Hourly
Junior
15-24 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Serve as a Coach brand ambassador by delivering personalized luxury retail experiences, achieving individual and store sales goals, building client relationships, and using POS, mobile selling, and social commerce tools. Responsibilities include styling customers, cross-selling, processing transactions, inventory receiving and replenishment, visual merchandising, maintaining sales floor and stockroom standards, and supporting team operations. Flexible availability, physical mobility, and participation in training and brand initiatives are required.
Top Skills: IpadMobile PosPosShort-Form VideoSocial Selling Platforms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account