Recruiting Analytics Data Engineer
Anthropic
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
262 open recruiting roles across 111 companies are on ApplySarthi right now, most of them in Bengaluru (8), Mumbai (1).
- Recruiting Coordinator Cloudflare
- Recruiting Team LeadJobgether
- Recruiting Excellence Enterprise PartnerRoche
- Recruiting and Sourcing Analyst - International Private BankJPMorgan
- Praktikant (m/w/d) RecruitingSimtra BioPharma Solutions
What recruiting roles keep asking for: Talent acquisition (28%), Supply chain (24%), Stakeholder management (16%) — counted across their open postings here.
BigQuery jobs · ETL jobs · Python jobs · SQL jobs
Anthropic has 678 open roles listed here.
- International Infrastructure Accounting
- [C] Research Engineer, Discovery
- Engineering Manager, Agent Security Partnerships
- Principal Engineer, Privacy
- Product Manager, Seller Experience
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for recruiting roles keep coming back to Talent acquisition, Supply chain, Stakeholder management. Practise those questions before you sit with Anthropic.
Questions you are likely to be asked
- Why do you want to join Anthropic?
- What is your experience with BigQuery? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Recruiting Analytics Data Engineer at Anthropic interview free →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 responsibilities
Data 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.
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Staff Software Engineer, GTM AI Engineering Anthropic
- Anthropic Fellows Program, AI Safety & SecurityAnthropic
- Anthropic Fellows Program, ML Systems & Reinforcement LearningAnthropic
- Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)Anthropic
- Community Engagement Manager, Data Centers (Texas)Anthropic
- Community Engagement Manager, Data Centres (Australia)Anthropic
- Compute Country Lead, CanadaAnthropic
- Data Center Architect, CSAAnthropic
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-09-14. ApplySarthi collects openings and links to application pages; the role is advertised by Anthropic, not by us.