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Patreon

Staff Software Engineer, Data Infrastructure

Patreon is hiring a Staff Software Engineer, Data Infrastructure. It pays $232k-$386k a year and Level rates it ; you can apply on Patreon.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts 39% higher than the typical software engineer posting on Level.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Databricks, Kafka and Kinesis among its tools and skills.
  • Patreon has 20 other open roles on Level.

AI in this role

Architect and operate large-scale batch and streaming data platforms powering analytics, product features, and ML systems at Patreon.

DatabricksKafkaKinesisPubsub
data-infrastructuredistributed-systemsstreamingdata-pipelinesarchitecture

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.

Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:

  • $10 billion+ generated by creators since Patreon's inception

  • 100 million+ free memberships for fans who may not be ready to pay just yet, and

  • 25 million+ paid memberships on Patreon today.

We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission.

This role is remote, with optional in-person attendance in either the New York or San Francisco office.

About the Team

The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on.

You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on.

About the Role

  • 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.

What you'll need:

  • 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.

About Patreon

Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:

  • Put Creators First | They’re the reason we’re here. When creators win, we win.

  • Build with Craft | We sign our name to every deliverable, just like the creators we serve.

  • Make it Happen | We don’t quit. We learn and deliver.

  • Win Together | We grow as individuals. We win as a team.

Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.

Patreon offers a 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.

Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.

At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.

The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.

Patreon reserves the right to modify or update compensation and benefits at any time.

How we rate this

Staff Software Engineer, Data Infrastructure at Patreon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data InfrastructureDistributed SystemsStreamingData PipelinesArchitectureDatabricksKafkaKinesis

Also common in software engineer jobs at this level

Pay

This job starts at
$232k
Typical software engineer job
$167k

This posting starts 39% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where data infrastructure was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where streaming was part of your work. What did you do?
  4. Tell me about a project where data pipelines was part of your work. What did you do?
  5. Tell me about a project where architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Infrastructure, Distributed Systems, Streaming, Data Pipelines, and Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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