3 months ago
Responsibilities
- Design, develop, and own data pipelines, models, and products supporting Product, Data Science, and GTM functions.
- Develop subject matter expertise and manage SLAs for data pipelines and full-stack web applications.
- Build and refine Stripe’s data foundations, including infrastructure, pipelines, and tools, using Scala, Spark, and Airflow.
- Leverage LLMs and agents at scale to produce high-quality data for ambiguous problems.
- Refine data marts that support GTM forecasting and attainment measurement.
- Build data services that track product metrics and measure the impact of strategies used by field teams.
Requirements
- At least 6 years of software engineering experience focused on building and maintaining data services or data-intensive applications.
- Experience writing and debugging data pipelines using a distributed data framework such as Spark, Hadoop, or Pig.
- Knowledge of a backend development language such as Scala, Java, or Go, along with strong SQL experience.
- Strong engineering background and interest in data.
- Ability to investigate data inconsistencies, resolve deep-rooted data quality issues, communicate cross-functionally, derive requirements, and architect shared datasets.
- Preferred: experience creating and maintaining data marts for business reporting.
- Preferred: experience working with Product or GTM teams.
Tech Stack
Categories
BackendData Engineering
About Stripe
Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.