Data Engineer

***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States**** About the Role A fast-growing SaaS startup in the cloud financial management space is hiring a Data Engineer to own and scale the data infrastructure powering a platform built for large enterprises with complex cloud spending needs. This is a technically rich role for an engineer who loves wrangling massive volumes of semi-structured data, building bulletproof pipelines, and caring deeply about data quality end to end. You'll work across the full data stack, from pipeline architecture to schema design to quality control, in an environment where your work directly drives high-stakes financial decisions for enterprise customers. ***Candidates must currently be located in the San Francisco Bay Area. This role is hybrid (3 days in-office, 2 days remote) in the SF Financial District*** ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States*** What You'll Do Design efficient data storage and retrieval systems using ClickHouse, Parquet, and S3 Build and maintain ETL pipelines processing hundreds of millions of rows of cloud billing data Develop robust data validation and quality control systems in Python and SQL Design and evolve data models for complex, constantly changing cloud billing schemas Build and optimize Airflow workflows for reliable, scalable data processing Collaborate with the engineering team to investigate and resolve data quality issues Scale data infrastructure as the platform expands to new cloud providers and use cases ✅ What We're Looking For 3+ years of experience with data products: warehouses, lakehouses, OLAPs, ETL pipelines, or job queues Intermediate to strong Python skills with a software engineering foundation Strong SQL chops including CTEs, window functions, and query optimization Experience building data validation and quality control systems Comfort with columnar databases, Parquet, and cloud storage (S3) Startup experience and the ability to move fast in ambiguous, evolving environments A genuine fastidiousness about data quality, even when there's no answer key Hands-on experience with ClickHouse or other OLAP datastores Familiarity with cloud billing data or cost management tooling (AWS CUR, etc.) Experience with Airflow or similar workflow orchestration tools End-to-end ownership of data products that directly impact enterprise customer outcomes Genuinely complex technical challenges at scale in a specialized, fast-growing domain Small, senior team where your contributions are visible and matter immediately Ground-floor opportunity at a well-backed startup with real revenue and strong domain expertise ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States*** #J-18808-Ljbffr