Data Engineer

About the role

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Data Engineer will build the foundation for scaling analytics across the organization.

Responsibilities

• Understand the data needs of stakeholder teams and translate those needs into technical requirements
• Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop insightful and reliable dashboards to track performance of core metrics that deliver insights to the whole company
• Build foundational data products, dashboards, and tools to enable self-serve analytics across the company
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in the organization’s data models and the company’s data architecture

You might be a good fit if you have:

• 5+ years of experience as a Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics
• A passion for the company's mission of building helpful, honest, and harmless AI
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
• Expertise in SQL and Python to transform data into accurate, clean data models
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
• Experience building an Analytics Data Engineering (or similar) function at start-ups
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress

The annual compensation range for this role is listed below.

Annual Salary: $320,000 - $405,000 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

We currently 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.

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.