Backend Software Engineer, Patreon

• 3+ years or 5+ years of experience in backend software development, building production services and APIs
• Strong programming skills in Python or a similar language, with good engineering practices (testing, CI/CD, monitoring)
• Strong SQL skills and experience designing and optimizing relational data models (e.g. MySQL, PostgreSQL)
• Hands-on experience with data-intensive work, such as batch or streaming pipelines, scheduled jobs, event logging, or serving analytical data (e.g. Airflow, Spark, Kafka / Kinesis, dbt, a data lake or warehouse)
• Care about data accuracy and reliability, including idempotency, backfills, and handling late or duplicate data
• Excellent collaboration and communication skills; comfortable partnering with product, design, and data teams
• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent
• If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you

Desirable

• We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Software Engineer, Backend to support our mission
• Our team builds the insights and analytics experiences creators rely on to understand and grow their business on Patreon, along with the infrastructure that keeps those numbers accurate and trustworthy
• We partner closely with Data Engineering, Data Science, Product, and Design to turn creator and fan data into features creators use every day
• As a Backend Engineer on the team, you will build and own the services, APIs, and data flows behind creator insights
• You will bring a strong backend foundation and the curiosity to work in the data layer: designing data models, building and maintaining pipelines and jobs, and making sure the data creators see is correct, fast, and reliable
• You will work across the stack from ingestion to the product surface, and take on work that today depends heavily on Data Engineering
• Design, build, and operate backend services and APIs that serve creator insights at scale
• Build and maintain data pipelines, jobs, and models that feed insights features, in partnership with Data Engineering
• Improve data quality, monitoring, and performance so creators can trust what they see
• Collaborate with product managers, designers, data scientists, and engineers to turn ambiguous questions into well-scoped solutions
• Drive technical design, write well-tested and maintainable code, and mentor teammates