Circle

Circle helps businesses and developers harness the power of stablecoins for payments and internet commerce worldwide.

Staff Software Engineer, Data Platform

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Arizona + 3 moreAll locations: Arizona, California, Florida, Utah

Posted

37 days ago

Salary

$195K - $257.5K / year

Bachelor Degree4 yrs expEnglishCloudETL

Job Description

• Own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance • Design, build, and operate data platform services (warehousing, orchestration, and catalogs) • Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization • Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs • Be a domain expert in streaming processing, data pipelines, data warehousing and quality • Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring • Develop and maintain core services and libraries to enhance critical platform functionalities

Job 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
  • Excellent communication skills, with the ability to collaborate across multiple remote teams
  • 7+ years in 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

Benefits

  • Health insurance
  • Flexible work environment

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