Staff Data Infrastructure Engineer — Remote, Streaming & Batch

Patreon; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Patreon is seeking a Senior/Staff Software Engineer, Data Infrastructure to architect and operate large‑scale batch and streaming platforms powering product features, analytics, and experimentation.

You will stand up event‑driven systems (Kafka, Kinesis, Pub/Sub) for real‑time ingestion and build self‑serve data platforms enabling engineers, data scientists, and analysts to safely work with data. This remote role offers potential in‑person attendance in NYC or SF.

Qualifications

• 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.

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

Batch processing

Streaming systems

Python

Java/Scala/Go

SQL

Cloud infrastructure

Data governance

Communication

Education

Bachelor's degree in CS/CE

Tools

Airflow

Dagster

Spark

Flink

Kafka Streams

Kinesis

Elasticsearch

Job description

Patreon is seeking a Senior/Staff Software Engineer, Data Infrastructure to architect and operate large‑scale batch and streaming platforms powering product features, analytics, and experimentation.

You will stand up event‑driven systems (Kafka, Kinesis, Pub/Sub) for real‑time ingestion and build self‑serve data platforms enabling engineers, data scientists, and analysts to safely work with data. This remote role offers potential in‑person attendance in NYC or SF.