
Staff Software Engineer, Data Platform
Circle
full-time
Posted on:
Location Type: Remote
Location: Arizona • California • United States
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Salary
💰 $195,000 - $257,500 per year
Job Level
About the role
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data warehousingETLELTdata ingestiondata processingstreaming data pipelinesdata governancedata modelingperformance monitoringcloud-native data platforms
Soft Skills
communicationcollaborationtechnical leadership