BetterUp

Staff Data Platform Engineer

BetterUp

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, District of Columbia, Illinois, New York

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Salary

💰 $212,000 - $291,000 per year

Job Level

Lead

Tech Stack

AirflowDistributed SystemsKafkaKubernetesPython

About the role

  • As a Staff Data Platform Engineer at BetterUp, you will have the opportunity to leverage your expertise, passion, and drive to craft robust, scalable data systems which will directly impact the lives and well being of thousands of workers across the world. BetterUp is the global leader in virtual professional coaching, combining world-class coaching with AI technology and behavioral science to deliver personalized behavior change at scale. Our mission is to help people everywhere live with greater clarity, purpose, and passion and since our founding in 2013, we have pioneered transformation and peak performance for individuals and organizations.\nYou will be joining a small team responsible for architecting, building, and maintaining the scalable, enterprise-grade data systems that power our data products and capabilities. You’ll straddle the worlds of DataOps, MLOps, and Infrastructure, enabling both the next generation of analytics functionality and an AI Platform to fuel our AI-driven product innovation.\nYou will collaborate with stakeholders across the business, understanding their data problems and ultimately unlocking data enablement through centralized standardization of tooling and processes, all with enterprise-grade best practices in mind for security, privacy, and governance. You will deliver high-quality, systems-oriented technical solutions which are both fit for today and ready for tomorrow.\nIf the idea of having real impact from your work, of giving people the platform to unlock true personal growth and transformation deeply resonates with you, and if you have a core belief that a strong data foundation is fundamental to building great products, come talk to us!

Requirements

  • Strong programming background (e.g. Python)\nOperational maturity (e.g. CI/CD systems, Infrastructure as Code, Kubernetes, monitoring, distributed systems, security and privacy best practices, etc.)\nExperience in building and maintaining analytics stacks (e.g. Snowflake, dbt, Looker)\nRunning GenAI / ML systems in production (e.g. MLOps tooling, vector search, embedding stores, feature engineering at scale, etc.)\nArchitecting data systems (e.g. Airflow, Kafka, general system design)