Job Details

Data Engineer

Join a high-growth team building Skyway, a sophisticated platform designed to ingest and normalize complex cloud billing data for large enterprises. You will design scalable ETL pipelines, tackle massive semistructured datasets at scale, and own the data product end-to-end to help Fortune 500 clients make critical cloud financial decisions.

Location: San Francisco, USA

Salary: $170K $220K + Equity

Company Description: Duckbill - VC-backed SaaS platform for cloud financial data

Why this role is remarkable:

• Tackle massive technical challenges at scale by processing hundreds of millions of rows of complex cloud billing data using ClickHouse and Parquet.
• Join a small, elite team of 12 people on the ground floor, backed by $7.75 million from top-tier investors Heavybit and Uncork Capital.
• Build deep expertise in the rapidly growing field of cloud financial data while enjoying 100% company-paid healthcare premiums and a results-oriented culture.

What you will do:

• Build and maintain high-performance ETL pipelines and Airflow workflows to process complex cloud billing data across multiple providers.
• Design and optimize efficient data storage and retrieval systems using ClickHouse, S3, and advanced data modeling techniques.
• Develop automated data validation and quality control systems using Python and SQL to ensure high-fidelity financial reporting for clients.

The ideal candidate:

• 3+ years of experience building data products, warehouses, or ETL pipelines with a focus on data quality and scale.
• Strong proficiency in Python and advanced SQL, including window functions, CTEs, and query optimization for OLAP datastores.
• Proven ability to thrive in a fast-paced startup environment and a fastidious approach to managing evolving, semistructured data schemas.