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Circle

Senior Software Engineer, Data Platform

Posted 8 Hours Ago
In-Office
San Francisco, CA
148K-195K Annually
Senior level
In-Office
San Francisco, CA
148K-195K Annually
Senior level
You will own and evolve the core Data/ML platform, focusing on data ingestion, processing, governance, and analytics, while collaborating across teams to design scalable solutions.
The summary above was generated by AI
Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data - globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure - including USDC, a blockchain-based dollar - helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
What you'll be part of:
Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder.
What You'll Be Responsible For:
As a member of the Data Platform Engineering team, you will own and evolve the core Data/ML platform - including data ingestion and processing (with a focus on both traditional and blockchain data sources), ETL/ELT pipelines, data governance and security compliance, analytics and visualization tooling, data modeling, and warehousing. You will also design and build systems to monitor data pipelines and on-chain activity to ensure reliability, performance, and observability. This role requires close collaboration with Infrastructure, Data Science, and Engineering teams to align on diverse requirements and deliver scalable, high-impact solutions. You will also participate in maintaining existing infrastructure and join the on-call rotation to ensure the liveness and stability of services. These components power our Product, Engineering, Analytics, and Data Science functions by enabling experimentation, operational excellence, and actionable insights that drive business growth.
What You'll Work On:
  • Design, build, and operate data platform services such as warehousing, orchestration, data catalogs, and ingestion frameworks.
  • Develop and maintain scalable ingestion pipelines, including onchain/blockchain data ingestion, with robust handling of node APIs, rate limiting, and data consistency.
  • Implement data alerting mechanisms to monitor critical events or anomalies in ingested data (e.g., specific on-chain transactions, contract changes, or volume spikes).
  • Handle ingestion pipelines that operate across a broad range of scales, from small partner datasets to high-throughput blockchain transaction streams.
  • Continuously improve platform operations through better monitoring, performance tuning, reliability enhancements, and resource optimization.
  • Collaborate across Product, Engineering, Data Science, Security, and Compliance teams to establish data contracts, governance, and lifecycle management.
  • Serve as a domain expert in data warehousing, data modeling, pipeline orchestration, and ensuring data quality at scale.
  • Provide ML/AI platform capabilities for data scientists to run experiments, manage training data, and perform feature engineering.
  • Build and maintain foundational services such as
    • Data asset cataloging and lineage tracking
    • Data versioning and quality metrics
    • Auto-backfilling for incomplete data scenarios
    • Fine-grained access control on datasets

What You'll Bring to Circle:
  • 4+ years of experience in software engineering, preferably focused on data systems.
  • Familiarity with building or maintaining scalable data infrastructure for batch, micro-batch, or streaming pipelines.
  • Exposure to business domains such as payments, banking, or blockchains is a plus.
  • Understanding of data governance concepts like data lineage, quality, and access control.
  • Interest in open-source data tools and technologies.
  • Comfortable working through technical problems, even when requirements are not fully defined.
  • Proactive, curious, and eager to learn and contribute in a fast-paced environment.
  • Good communication skills and ability to collaborate with team members across functions and locations.

Nice to have:
  • Familiarity with blockchain data and a strong grasp of foundational cryptocurrency technologies and concepts.

Base Pay Range:
$147,500 - $195,000
Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.
Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.
Base Pay Range: $147,500 - $195,000
We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.
Should you require accommodations or assistance in our interview process because of a disability, please reach out to [email protected] for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.
#LI-Remote

Top Skills

Analytics
Blockchain
Data Governance
Data Ingestion
Data Modeling
Elt
ETL
Python
SQL

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