Data Engineer

Patreon is seeking a Data Engineer to join their team and support their mission of building a content and community platform for creators. The role involves working on data analytics and data infrastructure projects, building core data sets and metrics, and developing real-time and batch data pipelines. The Data Engineer will collaborate with data scientists, product managers, and product engineers, and help drive a data-centric culture at Patreon. The ideal candidate should have expertise in SQL, Spark, and Python or Scala, as well as experience with data modeling, data warehouses, and data lakes.

• Work on a tight-knit team of highly motivated and experienced data engineers with frequent collaboration with data scientists, product managers, and product engineers.
• Work on both "data analytics" and "data infrastructure" type projects in a fast-paced, high-growth startup environment.
• Build core data sets and metrics to power analytics, reports, and experimentation.
• Write real-time and batch data pipelines to support a wide range of projects and features including creator-facing analytics product, executive reporting, FP&A, marketing initiatives, model training, data science analytics, A/B testing, etc.
• Help manage and build out the data platform and suite of data tools.
• Be a driver of a data-centric culture at Patreon.
• Work autonomously on large green field initiatives and help define data best practices at the company.
• Expert in SQL, Spark, and Python or Scala.
• Significant experience modeling data and developing core data sets and metrics to support analytics, reports, and experimentation.
• Solid understanding of how to use data to inform the product roadmap.
• Enjoy collaborating with Data Scientists, Product Managers, and Product Engineers.
• Comfortable playing the role of a Project Manager in order to drive results.
• Have previously built real-time and batch data pipelines using tooling such as Airflow, Spark, Kafka, S3, Fivetran, Census, etc.
• Experience working with event tracking frameworks, data observability frameworks, and experimentation frameworks.
• Experience managing and working with Data Warehouses and Data Lakes such as Redshift, Big Query, Snowflake, Delta Lake, etc.
• Highly motivated self-starter that is keen to make an impact and is unafraid of tackling large, complicated problems and putting in the work to ensure high craft deliverables.

• Expert in SQL, Spark, and Python or Scala
• Significant experience modeling data and developing core data sets and metrics
• Solid understanding of using data to inform the product roadmap
• Enjoy collaborating with Data Scientists, Product Managers, and Product Engineers
• Comfortable playing the role of a Project Manager to drive results
• Experience building real-time and batch data pipelines using tools such as Airflow, Spark, Kafka, S3, Fivetran, Census, etc.
• Experience with event tracking frameworks, data observability frameworks, and experimentation frameworks
• Experience managing and working with Data Warehouses and Data Lakes such as Redshift, Big Query, Snowflake, Delta Lake, etc.
• Highly motivated self-starter willing to tackle large, complicated problems and deliver high-quality results.

• Competitive benefits package including salary, equity plans, healthcare, unlimited paid time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.
• Opportunity to work on a tight-knit team of highly motivated and experienced data engineers.
• Collaboration with data scientists, product managers, and product engineers.
• Work on both "data analytics" and "data infrastructure" projects.
• Build core data sets and metrics to power analytics, reports, and experimentation.
• Write real-time and batch data pipelines.
• Help manage and build out the data platform and suite of data tools.
• Be a driver of a data-centric culture at Patreon.
• Opportunity to work in a hybrid work model or fully remote in the United States.
• Opportunity to make an impact and tackle large, complicated problems.
• Equal-opportunity employer.