Job Title: Staff Software Engineer, Data Platform

Company Name: Circle

Job Url: https://jobright.ai/jobs/info/69bb0d293b74eb1e2c896c7c

Job Description: 
Circle
· 1 hour ago
Staff Software Engineer, Data Platform

United States

Full-time

Remote

Senior Level, Lead/Staff

$195K/yr - $258K/yr

4+ years exp
80%
GOOD MATCH
100%
Exp. Level
63%
Skill
47%
Industry Exp.
Circle is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets and payment applications. The Staff Software Engineer in the Data Platform team will own the core Data warehouse platform and develop services for data ingestion and processing, enabling various teams to leverage data for operational excellence and business growth.
Banking
Crypto & Web3
Finance
Blockchain
Cryptocurrency
Financial Services

H1B Sponsor Likely

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Responsibilities
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, which include onchain data, internal system data, and partner data
Be a domain expert in streaming processing, data pipelines, data warehousing and quality
Work closely across multiple stakeholders–including Product, Engineering, Data Science, Security and Compliance teams–on data contract modeling, data lifecycle management, governance and regulatory/legal compliance
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, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets

Qualification

Represents the skills you have
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Software Engineering
Data-Intensive Systems
Batch Data Pipelines
Micro-Batch Data Pipelines
Streaming Data Pipelines
Payment Systems Domain
Credit Cards Domain
Bank Transfers Domain
Blockchain Domain
Data Governance
Data Lineage
Data Provenance
Open-Source Data Technologies
Cloud-Native Data Platforms
Architecture Design
System Design
Streaming Systems
Data Warehousing
Data Modeling
Large-Scale Data Ingestion
Data Quality
Data Validation
Data Observability
Apache Flink
Google Cloud Dataflow
NoSQL Databases
Bigtable
Cassandra
Real-Time Analytics
Near-Real-Time Decisioning Systems
Required
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 the ability to collaborate across multiple remote teams, share ideas and present concepts effectively
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
Ability to identify high-impact technical opportunities independently and drive them from concept to production
Strong experience in: Data platforms integrated with downstream consumers, tools, and services
Data quality, validation, and observability mechanisms across pipelines
Comfortable making and defending long-term architectural tradeoffs in ambiguous environments
Preferred
Experience with streaming frameworks such as Apache Flink or Google Cloud Dataflow
Experience with NoSQL databases such as Bigtable, Cassandra
Hands-on Experience taking an operational, data-intensive application from initial design to production (0→1), or scaling and operating it at production scale
Experience developing real-time analytics or near-real-time decisioning systems