Staff Software Engineer, Data Platform
Circle
- United States, United States
- Remote
- $195,000 - $258,000 a year
- Posted May 19, 2026
Job description
About the role
As a Staff Software Engineer on the Data Platform Engineering team, you will own the core data warehouse platform, design and operate data ingestion, processing, and governance services, and enable ML and analytics capabilities for internal and partner teams.
About the company
Circle is a leading internet financial platform company building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure.
Requirements
- 4+ years of software engineering experience building data‑intensive systems
- Hands‑on experience designing and operating scalable batch, micro‑batch, or streaming data pipelines
- Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains
- Familiarity with data governance, lineage, and provenance concepts
- Strong understanding of open‑source data technologies and cloud‑native data platforms
- Ability to tackle complex and ambiguous problems
- Self‑starter who takes ownership and enjoys moving at a fast pace
- Excellent communication skills with ability to collaborate across multiple remote teams and present concepts effectively
- 7+ years of software engineering experience for large‑scale and complex data systems
- Proven technical leadership in architecture and system design, influencing designs across multiple teams
- Deep expertise in one or more of streaming systems, data warehousing, data modeling, or large‑scale ingestion platforms
- Ability to identify high‑impact technical opportunities independently and drive them from concept to production
- Strong experience with data platforms integrated with downstream consumers, tools, and services
- Experience implementing data quality, validation, and observability mechanisms across pipelines
- Comfortable making and defending long‑term architectural tradeoffs in ambiguous environments
- Experience with streaming frameworks such as Apache Flink or Google Cloud Dataflow (preferred)
- Experience with NoSQL databases such as Bigtable or Cassandra (preferred)
- Hands‑on experience taking an operational, data‑intensive application from initial design to production (0→1) or scaling it at production scale (preferred)
- Experience developing real‑time analytics or near‑real‑time decisioning systems (preferred)