Software Engineer, Backend

Patreon•New York, NY

18h•$189,000 - $255,500•Hybrid

About The Position

Patreon is hiring a Backend Software Engineer to support its creator insights and analytics experiences. The team builds tools creators use to understand and grow their Patreon businesses, as well as the infrastructure that ensures the underlying data is accurate and trustworthy. The role partners with Data Engineering, Data Science, Product, and Design to turn creator and fan data into useful features. The engineer will build and own services, APIs, and data flows behind creator insights, working across the data layer and product surface. This includes designing data models, building and maintaining pipelines and jobs, and ensuring the data presented to creators is correct, fast, and reliable. The position is based in New York or San Francisco and follows a hybrid model requiring three days per week in the office for employees based in office locations. Patreon is a media and community platform serving creators through memberships, community chats, live video, and one-time purchases. Its mission is to fund the creative class. The company describes its values as putting creators first, building with craft, making it happen, and winning together. Patreon is an equal opportunity employer and provides a competitive benefits package, with offerings varying by country.

Requirements

At least 3 or 5 years of experience in backend software development, building production services and APIs.
Strong programming skills in Python or a similar language, and good engineering practices such as testing, CI/CD, and monitoring.
Strong SQL skills and experience designing and optimizing relational data models, such as MySQL or PostgreSQL.
Hands-on experience with data-intensive work, such as batch or streaming pipelines, scheduled jobs, event logging, or serving analytical data; examples include Airflow, Spark, Kafka/Kinesis, dbt, and data lakes or warehouses.
Care about data accuracy and reliability, including idempotency, backfills, and handling late or duplicate data.
Excellent collaboration and communication skills, with the ability to partner with product, design, and data teams.
Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent.

Nice To Haves

Experience with Spark, Flink, or modern table formats such as Delta Lake or Iceberg.
Experience with data quality, lineage, or observability tooling.
Experience building customer-facing analytics, reporting, or insights features.
Familiarity with metric design and data modeling for analytics and experimentation.

Responsibilities

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 the information 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.