Backend Engineer, Creator Insights (Data & APIs)

Patreon; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare

401k with matching

Job summary

Patreon is seeking a Backend Engineer to build and own the services, APIs, and data flows behind creator insights at scale. You will design data models, pipelines, and ensure data accuracy and reliability across the stack.

You will collaborate with product, design, data science, and data engineering to deliver well-scoped solutions and mentor teammates in a fast-growing, hybrid-work environment in New York or San Francisco.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• Strong programming skills in Python or a similar language with testing, CI/CD, and monitoring practices.
• Strong SQL skills and experience designing and optimizing relational data models (MySQL, PostgreSQL).
• Hands-on experience with data-intensive work: batch/streaming pipelines, scheduled jobs, event logging, analytics data (Airflow, Spark, Kafka/Kinesis, dbt).

Responsibilities

• Design, build, and operate backend services and APIs that serve creator insights at scale.
• Build and maintain data pipelines, jobs, and models feeding insights features with Data Engineering.
• Improve data quality, monitoring, and performance for reliable data views.
• Collaborate with product managers, designers, data scientists, and engineers to turn questions into well-scoped solutions.
• Drive technical design, write well-tested and maintainable code, and mentor teammates.

Skills

Collaboration

Communication

Testing discipline

CI/CD

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Python

SQL

Airflow

Spark

Kafka

Kinesis

dbt

Data Warehouse

Job description

Patreon is seeking a Backend Engineer to build and own the services, APIs, and data flows behind creator insights at scale. You will design data models, pipelines, and ensure data accuracy and reliability across the stack.

You will collaborate with product, design, data science, and data engineering to deliver well-scoped solutions and mentor teammates in a fast-growing, hybrid-work environment in New York or San Francisco.