Senior Data Infrastructure Engineer

Anthropic; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

SF office space

Job summary

Anthropic is seeking a Data Infrastructure Engineer to design, build, and operate secure, scalable data systems in a hybrid SF environment. You will collaborate with data scientists, analysts, and business stakeholders to enable trusted data-driven decisions.

The role focuses on governance, pipelines, and cloud storage reliability, with opportunities to work on BigQuery, BigTable, Spark, and Airflow. Relocation and visa sponsorship are supported where applicable.

Qualifications

• 10+ years in software engineering focused on data infrastructure.
• 3+ years leading large-scale projects or teams.
• Proficient in Python, Go, or Java.
• Experience with cloud platforms (GCP/AWS) and IaC.

Responsibilities

• Design and implement access control systems for data governance.
• Build and maintain financial data pipelines and data warehouses.
• Architect cloud storage, disaster recovery, and data durability.
• Scale data processing infrastructure using tools like Spark, Airflow.

Skills

Python

Go

SQL

Terraform

GCP

AWS

Data infrastructure

Leadership

Technical direction

Collaboration

Education

Bachelor's degree

Tools

BigQuery

BigTable

Airflow

dbt

Spark

GCS

S3

Kubernetes

Cloud Composer

Job description

Anthropic is seeking a Data Infrastructure Engineer to design, build, and operate secure, scalable data systems in a hybrid SF environment. You will collaborate with data scientists, analysts, and business stakeholders to enable trusted data-driven decisions.

The role focuses on governance, pipelines, and cloud storage reliability, with opportunities to work on BigQuery, BigTable, Spark, and Airflow. Relocation and visa sponsorship are supported where applicable.