Staff Data Platform Engineer — Scale, Security & Mentoring

Turo; San Francisco (CA); Hybrid; USD 182,000 - 228,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Retirement employer match

Learning & Development stipend

Turo host matching program

Turo travel credit

Cell phone and internet stipend

Paid time off and holidays

In-office lunch and snacks

Job summary

Turo is looking for a Data Engineer in San Francisco to build and maintain a scalable data platform. You'll collaborate with teams to design pipelines and improve data processes, mentoring junior engineers along the way. Requires 7+ years of experience, proficiency in cloud services, and expertise in tools like Airflow and Terraform. The target salary range is $182,000–$228,000 annually, with a hybrid work model and additional perks for in-office employees.

Qualifications

• 7+ years of relevant experience in data engineering.
• Experience building ETL frameworks and data pipeline orchestration.
• Strong coding skills with a focus on reusable and well-tested code.

Responsibilities

• Design and implement a scalable data platform for various teams.
• Mentor junior engineers and boost team productivity.
• Establish data models and enforce security protocols.

Skills

Software engineering fundamentals

AI integration

ETL frameworks

Data pipeline job orchestration

Cloud services (AWS, GCP, Azure)

Infrastructure tooling (Terraform, Kubernetes)

Data protection standards

Mentoring skills

Tools

Airflow

Prefect

Dagster

Spark

Job description

Turo is looking for a Data Engineer in San Francisco to build and maintain a scalable data platform. You'll collaborate with teams to design pipelines and improve data processes, mentoring junior engineers along the way. Requires 7+ years of experience, proficiency in cloud services, and expertise in tools like Airflow and Terraform. The target salary range is $182,000–$228,000 annually, with a hybrid work model and additional perks for in-office employees.