Hi Prefect community, Sharing a rather unique opportunity to join the largest Hedge Fund startup in over a decade ($4B raise). Prod experience with Prefect is a big "nice to have". If this piques your interest please DM me. Company: Freestone Grove (currently in stealth mode) Location: Onsite in San Francisco, CA Position: Data Platform Engineer Total Comp: No comp barriers + world-class benefits + $50K relocation package if needed About Us: Freestone Grove Partners is an investment firm that seeks to deliver the highest quality risk-adjusted returns through the aggregation of fundamental talent, quantitative capabilities and a world-class platform consisting of highly differentiated frameworks, technologies and tools. Our sector focus spans across eight different sector teams, which include consumer, technology, healthcare, financials, industrials and natural resources. The Role and Your Impact: • Work on business-critical data pipelines that collect, process and store financial datasets • Design, architect and support new and existing data and ETL pipelines and recommend improvements and modifications with a focus on maintainability, scalability, and performance • Analyze, debug and correct issues with the platform • Collaborate on data modeling and architecture with the quantitative and investment teams • Work with researchers and analysts to make the process of training, testing, and deployment of Machine Learning models seamless • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. What You Should Bring: • Good fundamental CS background - strong understanding & usage of algorithms and data structures • High proficiency with a modern backend language (python preferred) • Experience working with SQL Databases, such as Postgres, MySQL, MariaDB, etc • Ability to architect data process flows using modern orchestration systems such as Airflow, Prefect, or similar • Familiarity with multi-machine processing in Kubernetes or similar systems Bonus If You Have: • Experience with a mix of purchased and proprietary, API-first tools and data systems • Been responsible for making business-critical decisions around the storage layer, such as the choice between column-based databases or traditional row-oriented databases • Experience with and pragmatic views about when to use off-the-shelf solutions and when not to use them • Experience mentoring junior engineers