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Principal Software Engineer (Data Platform)

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Onsite

Principal Software Engineer (Data Platform)

Highnote

Principal Software Engineer (Data Platform)

Skills

Google Cloud PlatformSQL QueriesDockerPythonJavaPostgreSQLCassandraKafkaSnowflakeAIAWSKubernetes

5 days ago

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Important information


Contract type:

Permanent

Salary:

$190,000 – $240,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


  • The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines. With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue
  • Building secure and scalable data platforms that support our product/customer needs and power data driven decision making
  • Writing high quality and robustly tested code, mostly in Java and Python
  • Understanding business/data needs and growth to build the right solutions
  • Documenting your work to support our rapidly-scaling company
  • Interfacing with internal business stakeholders and technology partners to support day to day operations and create new data products

Benefits

  • Health, Dental and Vision Insurance
  • Flexible PTO
  • Parental Leave
  • 401k Plan
  • Paid Lunch During Work Days
  • Work From Home Stipend
  • Equity
  • Team Events and Offsites- Experience with Java >= 11 or Python >= 3.7
  • A history of writing scalable, performant and maintainable code
  • Able to model and design modern data structures in SQL/NoSQL databases
  • Proficiency using AI-powered development tools (e.g., Claude Code) across the full software development lifecycle - including design, prototyping, development, testing, and iteration. A demonstrated passion for AI-driven development, a commitment to continuously advancing AI skills, and a drive to push the boundaries of productivity and engineering outcomes
  • 12+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis, etc., and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes, etc
  • Preferred experience with BigQuery and Snowflake
  • Experience with cloud platforms such as GCP or AWS
  • Docker and Kubernetes
  • Able to model and design modern data structured in data lakes and data warehouses
  • A background in the fin-tech space

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