Patreon

Staff Software Engineer, Data

Patreon

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $246,400 - $369,600 per year

Job Level

Lead

Tech Stack

AirflowAmazon RedshiftBigQueryDynamoDBKafkaMySQLPostgresPythonSparkSQL

About the role

  • Design, build, and maintain the pipelines that power all data use cases. This includes ingestion of raw data from production databases, object storage, and message queues, and vendors into our Data Lake, and building core datasets and metrics.
  • Develop intuitive, performant, and scalable data models (facts, dimensions, aggregations) that support product features, internal analytics, experimentation, and machine learning workloads.
  • Implement robust batch and streaming pipelines using Spark, Python, and Airflow. Handle complex patterns like incremental processing, event-time partitioning, and late data handling.
  • Define and enforce standards for accuracy, completeness, lineage, and dependency management. Build monitoring and observability so teams can trust what they’re using.
  • Work with Product, Data Science, Infrastructure, Finance, Marketing, and Sales to turn ambiguous questions into well-scoped, high-impact data solutions.
  • Pay down technical debt, improve automation, and drive best practices in data modeling, testing, and reliability. Mentor peers and help shape the future of Patreon’s data.

Requirements

  • 6+ years of experience in software development, with at least 2+ years of experience in building scalable, production-grade data pipelines.
  • Expert-level proficiency in SQL and distributed data processing tools like Spark, Flink, Kafka Streams, or similar.
  • Strong programming foundations in Python or similar language, with good software engineering design patterns and principles (testing, CI/CD, monitoring).
  • Expert in modern data lakes (eg: Delta Lake, Iceberg). Familiar with data warehouses (eg: Snowflake, Redshift, BigQuery) and production data stores such as relational (eg: MySQL, PostgreSQL), object (eg: S3), key-value (eg: DynamoDB) and message queues (eg: Kinesis, Kafka).
  • Excellent collaboration and communication skills; comfortable partnering with non-technical stakeholders, writing crisp design docs, giving actionable feedback, and can influence without authority across teams.
  • Understanding of data modeling and metric design principles.
  • Passionate about data quality, system reliability, and empowering others through well-crafted data assets.
  • Highly motivated self-starter who thrives in a collaborative, fast-paced environment and takes pride in high-craft, high-impact work.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent.
Benefits
  • Competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLSparkPythonFlinkKafka StreamsDelta LakeIcebergSnowflakeRedshiftBigQuery
Soft skills
collaborationcommunicationinfluencingmentoringproblem-solvingautomationdata qualitysystem reliabilityself-starteradaptability
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Computer Engineering