Remote Software Engineer, Growth Data Engineering

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Stripe

πŸ“Remote - United States

Job highlights

Summary

Join Stripe's Growth Data Engineering team to help manage business critical data leveraged across the entire organization. As a talented data-minded engineer, you'll design data pipelines and data-driven user experiences that have an outsized impact on the business.

Requirements

  • 3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data
  • A strong engineering background and are interested in data
  • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
  • An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
  • Knowledge of a scientific computing language (such as Scala or Python) and SQL
  • Experience with full stack development languages such as Java or Go, and front-end frameworks such as React
  • The ability to communicate cross-functionally, derive requirements and architect shared datasets

Responsibilities

  • Identify data needs for Growth, Sales, and Marketing teams
  • Understand their specific operational and reporting requirements
  • Build efficient and scalable data products & pipelines to enable data-driven decisions across Stripe
  • Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams
  • Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams
  • Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe
  • Build Stripe's Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Stripe for consumption by data applications across the company
  • Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow
  • Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com
  • Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets
  • Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field
  • Integrate different parts of our experimentation infrastructure at Stripe, to enable full-funnel measurement and personalization of experiences spanning from Stripe.com into product

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