Backend Engineer - Creator Insights & Data Pipelines

Patreon; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Coverage

Flexible Time Off

Parental leave

Learning stipend

Hybrid Work Offices

Retirement matching

HSA

Job summary

Patreon is seeking a Backend Engineer to build and own the services, APIs, and data flows behind creator insights. You will partner with Data Engineering, Data Science, Product, and Design to turn creator and fan data into features used daily.

You’ll design data models, maintain pipelines, and ensure data quality and performance at scale. You will work across the stack from ingestion to product surface, implementing robust backend services and data-driven analytics capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• 3+ years or 5+ years of backend software development experience.
• Strong SQL and relational data modeling (MySQL, PostgreSQL).
• Experience with data-intensive work: batch or streaming pipelines, data jobs, analytics data.
• Excellent collaboration with product, design, and data teams.

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.
• Improve data quality, monitoring, and performance so creators see accurate data.
• Collaborate with product managers, designers, data scientists, and engineers to turn questions into solutions.
• Drive technical design, write well-tested code, and mentor teammates.

Skills

Python

SQL

Backend development

Data pipelines

Data quality

CI/CD

Monitoring

Collaboration

Batch processing

Streaming pipelines

Airflow

Spark

Kafka/Kinesis

dbt

Elasticsearch

Mentoring

Education

Bachelor's degree in CS/Engineering

Tools

Airflow

Kafka

Kinesis

dbt

Elasticsearch

Job description

Patreon is seeking a Backend Engineer to build and own the services, APIs, and data flows behind creator insights. You will partner with Data Engineering, Data Science, Product, and Design to turn creator and fan data into features used daily.

You’ll design data models, maintain pipelines, and ensure data quality and performance at scale. You will work across the stack from ingestion to product surface, implementing robust backend services and data-driven analytics capabilities.