Data Platform Engineer

About the Role We're looking for an experienced Data Platform Engineer to join as a member of our core Engineering team. As one of our senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our core product and data platform. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. What You'll Do

• Design, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and security
• Architect, build, and deploy the back-end systems and services that power our data curation platform
• Partner with researchers and engineers to bring new features and research capabilities to our customers
• Ensure that our systems are reliable, secure, and worthy of our customers' trust What We're Looking For
• 4+ years of experience in data engineering, including owning production systems end-to-end -- scalable processing (Spark, Flink), storage (HDFS, S3), lakes/warehouses (Snowflake, Hive), SQL, and workflow orchestration (Airflow, Dagster).
• Proficiency in Python, Scala, or Java.
• Experience as a technical lead of a Data Engineering, Platform, or Infrastructure team.
• Experience building ML/DL systems or data infrastructure that feeds large-scale model training.
• High bar for design, correctness, and testing. You build systems that are scalable, reliable, and secure.
• Low ego, high ownership. You help your teammates, pick up whatever's needed, and see problems through to completion.
• Don’t meet every single requirement? We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you! Compensation & Benefits
• Salary: $180,000-$300,000 USD per year
• 100% covered health benefits (medical, vision, and dental).
• 401(k) plan with a generous 4% company match.
• Unlimited PTO policy.
• Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.
• Annual $2,000 wellness stipend.
• Annual $1,000 learning and development stipend.
• Daily lunches and snacks are provided in our office!
• Relocation assistance for employees moving to the Bay Area.