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Highnote · Posted 2w ago

Principal Software Engineer (Data Platform)

$190–240K/yrHybridSenior

Job relayed by Stapply Data, its source: you apply there.

Location
🇺🇸 San Francisco, United States
Contract
Full-time
Role
Platform & databases
Source
Stapply Data

Stack

The posting

Join our Data Platform Team as a Principal Software Engineer. You will be responsible for designing and building modern scalable, secure, and reliable data platforms and data pipelines. Your work will support our product/customer data needs, improve operational efficiency, and increase revenue. You will write high-quality and robustly tested code, understand business/data needs, document your work, and interface with internal business stakeholders and technology partners.

- Concevoir et construire des plateformes de données modernes, évolutives, sécurisées et fiables. - Écrire du code de haute qualité et bien testé, principalement en Java et Python. - Interfacer avec les parties prenantes internes et les partenaires technologiques pour soutenir les opérations quotidiennes.

- 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