[Remote] Staff Software Engineer, Data Infrastructure

Note: The job is a remote job and is open to candidates in USA. Patreon is a media and community platform that helps creators build businesses and connect with their fans. The Staff Software Engineer, Data Infrastructure will architect, build, and operate large-scale batch and streaming platforms, self-serve data systems, and reliability tooling while mentoring engineers and guiding the long-term data infrastructure roadmap.

Responsibilities

• Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation
• Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems
• Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction
• Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap
• Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance
• Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap

Skills

• 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure
• Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar)
• Familiarity with data quality, lineage, observability, and governance tooling
• Strong programming skills in Python (Java, Scala, or Go a plus) and SQL
• Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems
• Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions
• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent
• Experience with Delta Lake/Iceberg, AWS, or Databricks
• Contributed to open-source streaming or infrastructure tooling
• Experience supporting ML/AI workflows, training pipelines, or evaluation systems

Benefits

• Equity plans
• Healthcare
• Flexible time off
• Company holidays and recharge days
• Commuter benefits
• Lifestyle stipends
• Learning and development stipends
• Patronage
• Parental leave
• 401k plan with matching
• This role is remote, with optional in-person attendance in either the New York or San Francisco office.
• Candidates hired into remote-eligible roles are not expected to meet the same requirements as employees based in office locations.

Company Overview

Company H1B Sponsorship