Senior Data Platform Engineer

Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer / employee relationship. We do. We can't cram it all in here, but you'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. As a Senior 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. Since our founding in 2013, we have pioneered transformation and peak performance for individuals and organizations. As a Data Engineer at BetterUp, you will join a small team responsible for the data systems that power everything from operational efficiency to personalized product experiences, and cutting-edge behavioral research and organizational analytics. You will be responsible for the end-to-end implementation of the data stack, building a platform that makes it easy for teams to define and ingest datasets, transform data, and access data for analytics and AI systems, following enterprise-grade security, privacy, and governance best practices. There is a strong focus on infrastructure and technical processes, unlocking enablement through standardization. You will work directly with stakeholders to ensure their data needs are met, define data strategies, implement data systems, and help infuse data into transformational experiences. You will be responsible for deeply understanding data problems, crafting technical strategies, and delivering high-quality solutions that are fit for today and tomorrow. If you live and breathe data, write SQL in your sleep, appreciate Python scripts, and want to help deliver next-generation GenAI solutions, join us! Key Responsibilities : Data Architect: Design, assemble, and maintain large, complex datasets to deliver insights and power product experiences. Data Advocate: Promote data-driven decision-making and develop cross-functional data solutions. Data Protector: Build reliable, scalable data infrastructure with privacy and security techniques to safeguard data. Data Engineer: Manage the end-to-end data stack, including event collection, governance, integrations, and modeling. Data Custodian: Ensure data quality through metrics, documentation, processes, testing, and training. Data Enabler: Create tooling and processes to make data accessible for building data/AI products. If you have some or all of the following, please apply : 10+ years of relevant experience, including startup experience. Advanced knowledge of MLOps/AIOps approaches, tooling, and best practices (e.g., MLflow, Kubeflow, SageMaker, VertexAI, Seldon, BentoML). Proficiency with OLAP databases (e.g., Snowflake, BigQuery, Redshift). Advanced SQL knowledge and experience with modern SQL orchestrators like dbt. Hands-on experience developing data pipelines with tools like Airflow, AWS Step Functions, Dagster, Prefect, Stitch Data, Fivetran, Airbyte. Experience with stream processing technologies (e.g., Kafka, Spark, Databricks, Segment). Experience in decoupling transactional/source systems from BI reporting (e.g., dimensional modeling). Proficiency in Python for workflows and web servers. Familiarity with BI tools (e.g., Looker, Tableau, Superset, Periscope). Experience with containerization and orchestration (e.g., Docker, Kubernetes). Operational maturity skills (CI/CD, Infrastructure as Code, monitoring, distributed systems). Interest in the ecosystem of GenAI tools and platforms. Experience collaborating with high-performance web developers is a plus. What will make you successful at BetterUp : Curiosity and love for learning. Strong problem-solving and strategic skills. Ability to work independently and collaboratively. Passion for BetterUp's mission, mentoring, and leadership with empathy and wisdom. Ability to navigate complex technical challenges with robust, flexible solutions. Experience bridging data science, engineering, operations, security, and product teams. Benefits : At BetterUp, we aim to support your well-being and growth through benefits such as: Access to BetterUp coaching for you and a loved one. Competitive compensation with opportunities for advancement. Full medical, dental, and vision coverage. Employer-paid Life, AD&D, STD, and LTD insurance. Flexible paid time off, including holidays, Inner Work days, and Volunteer Days. Learning and Development stipend. Holiday charitable contributions on your behalf. 401(k) plan. We are committed to equal employment opportunity and fair compensation, with a salary range of $152,000 - $200,000 for this role. Your application implies consent to our privacy practices. For questions, contact support@betterup.co. LI-Hybrid

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