Data Engineer — Cloud Billing Data Pipelines

Arcadia; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A fast-growing SaaS startup in San Francisco is hiring a Data Engineer to manage and scale their data infrastructure. This hybrid role involves designing efficient data systems, building ETL pipelines, and ensuring data quality. Candidates must have at least 3 years of experience in data products and strong Python and SQL skills. The right candidate will thrive in a dynamic startup environment, tackling complex challenges and making significant contributions to high-stakes decisions.

Qualifications

• 3+ years of experience with data products like warehouses and ETL pipelines.
• Experience building data validation and quality control systems.
• Startup experience in fast-paced, evolving environments.

Responsibilities

• Design data storage and retrieval systems using ClickHouse, Parquet, and S3.
• Build and maintain ETL pipelines for cloud billing data.
• Develop data validation and quality control systems in Python and SQL.

Skills

Data products experience

Intermediate to strong Python skills

Strong SQL chops

Experience with ClickHouse

Hands-on experience with Airflow

Tools

ClickHouse

Airflow

Cloud storage (S3)

Job description

A fast-growing SaaS startup in San Francisco is hiring a Data Engineer to manage and scale their data infrastructure. This hybrid role involves designing efficient data systems, building ETL pipelines, and ensuring data quality. Candidates must have at least 3 years of experience in data products and strong Python and SQL skills. The right candidate will thrive in a dynamic startup environment, tackling complex challenges and making significant contributions to high-stakes decisions.