Senior Data Infrastructure Engineer – Remote (Batch & Streaming)

Patreon; United States; On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare

Flexible time off

401k plan with matching

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 and analytics. You will stand up event-driven systems (Kafka, Kinesis, PubSub) for real-time ingestion and ensure reliable data delivery across storage layers.

Join a high-craft team influencing data contracts and pipelines. The role emphasizes Python/SQL mastery, cloud familiarity, and collaboration across Product, Data Science,

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 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

Python

SQL

Airflow

Dagster

Spark

Flink

Kafka

Kinesis

Pub/Sub

Delta Lake

Iceberg

AWS

Databricks

Cloud infrastructure

S3

MySQL

Postgres

DynamoDB

Elasticsearch

Clickhouse

Pinot

Druid

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

Dagster

Spark

Flink

Kafka Streams

Kafka

Kinesis

Pub/Sub

S3

MySQL

Postgres

DynamoDB

Elasticsearch

Clickhouse

Pinot

Druid

Delta Lake

Iceberg

AWS

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 and analytics. You will stand up event-driven systems (Kafka, Kinesis, PubSub) for real-time ingestion and ensure reliable data delivery across storage layers.

Join a high-craft team influencing data contracts and pipelines. The role emphasizes Python/SQL mastery, cloud familiarity, and collaboration across Product, Data Science,