Data Engineer
Posted by employer 11 months ago
First seen on Joblaze 5 months ago
Last verified on the company career page 10 hours ago
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Benefits
Joblaze summary
In the role of Analytics Data Engineer at Anthropic, the individual will focus on building and managing data pipelines, ensuring teams have access to accurate metrics for informed decision-making. Proficiency in SQL, Python, and tools like dbt and Airflow is essential, along with experience in developing dashboards for cross-functional teams. This position is ideal for someone with over five years of relevant experience, particularly in startup environments, who thrives in ambiguity and is passionate about the mission of creating safe AI systems.
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze May 9, 2026. Last confirmed on Anthropic's careers page October 8, 2026.
- Salary band is above the typical range for Data Engineering roles (median ~$180,656).
- Starts above 99% of 138 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 40 companies). See Python salary trends
- Python appears in 80.1% of 216 comparable senior data engineering roles in United States; Hex appears in 1.4% of 216 comparable senior data engineering roles in United States.
Quick facts
- Is the Data Engineer role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
- What's the salary range?
- Anthropic lists $275,000–$370,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Data Engineer role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, GitHub, Hex, Python, SQL, dbt.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Engineer role at Anthropic.
From the original posting
About Anthropic
About the Role
As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that 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 will deliver insights to the whole company
- Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our 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.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.