Staff Software Engineer, Data Infrastructure

San Francisco · Remotefull timeRemote

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senior

$232k–$386k

H1B: yes

Patreon Staff Software Engineer, Data Infrastructure at Patreon to architect and operate large scale batch and streaming platforms powering product features and analytics. Responsible for building self-serve data platforms and partnering across teams to drive architectural decisions.

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.

Qualification

DeepFamiliarity with data qualityBachelor's degree in Computer ScienceBonus if you haveExperience with Delta Lake/IcebergExperience supporting ML/AI workflows

Required

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.
Bonus if you have:
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.
We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.