Senior Data Engineer, Found

• 8+ years experience in data infrastructure, data engineering, or analytics engineering roles
• Experience with relational databases (Postgres/MySQL), dbt, and Airflow
• Advocated for and rolled out new technologies or open-source frameworks that empower data and product organizations to make data driven decisions
• Experience working with cloud-native big data infrastructure on the public cloud (GCP/AWS/Azure, BigQuery/Redshift/Synapse)
• Ability to write clean and maintainable code (primarily Python)
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Desirable

• Thanks for your interest in Found
• Our Data team is a full stack data organization of highly skilled data scientists, data engineers, and analysts
• We’re responsible for everything from researching, training, and deploying ML models to detect and stop fraud in real time, to using data to inform the direction that our product teams should take and what to build next
• We’re a small but experienced team that has worked on diverse and complex problems at companies like Uber, Netflix, and Spotify
• We’re excited to bring on a Data Engineer to help scale our data infrastructure, optimize our data pipelines, and support decision-making across the organization
• You’ll play a critical role in building out and scaling our ML and data platforms and will empower data scientists, analysts, and other stakeholders to better leverage our data to drive our business forward
• Some recent team accomplishments include:
• Deploying a new feature store that improved time to train and deploy machine learning models by ~50%
• Optimizing our batch and streaming jobs to improve reporting latencies from a matter of days to a matter of hours
• Training and deploying several models that monitor financial transactions in real time to make decisions on whether or not they should be allowed through or not
• Researching, training, and deploying an XGBoost model that predicts a user’s LTV to better shape our ad targeting and user acquisition strategy
• Design, build, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data
• Build a data platform-as-a-service for internal customers, ensuring data integrity, sanity, tagging, and discoverability
• Bridge the gap between engineering and analytics, helping inform the roadmap for data infrastructure for the company
• Implement various ETL infrastructures for the company’s topline metrics, reporting, and product functionality
• Contribute to the development of best practices, standards, and frameworks for data engineering at Found
• Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence