Circle

2 months ago

Senior Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Define and drive Circle’s data reliability, quality, and operational excellence across the data ecosystem. Establish company-wide standards for data quality, contracts, and governance; design scalable reliability and observability frameworks (SLI/SLO, lineage, monitoring, alerting); and institutionalize incident management with blameless postmortems. Lead cross-team prioritization of reliability investments and deliver complex, high-impact initiatives that improve long-term scalability and reduce systemic risk.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance across domains.
•Design and scale reliability and observability frameworks, including SLI/SLO models, lineage tracking, monitoring, and alerting patterns.
•Establish and evolve incident management practices, including severity models, escalation paths, on-call structures, and blameless postmortems.
•Standardize data engineering SDLC practices, including testing strategies, CI/CD, versioning, and reusable frameworks.
•Drive cross-functional prioritization of reliability initiatives and lead complex, high-impact data initiatives in ambiguous environments.

Pay and Benefits

Salary: USD 225,000 - 290,000 annually

Key Requirements

•Extensive experience designing and operating scalable data platforms focused on reliability, quality, and observability.
•Deep expertise in data architecture, including data modeling, pipeline design, and distributed data systems.
•Proven ability to define and implement data quality frameworks, including SLAs, data contracts, and governance standards.
•Strong experience establishing SLI/SLO frameworks with monitoring and alerting for large-scale data systems.
•Demonstrated ability to lead complex cross-team technical initiatives and drive stakeholder alignment.

Experience:FintechPaymentsCrypto

Skills:Cross-team leadershipStakeholder alignmentAccountabilityContinuous improvement

Tech Stack:Astronomer (Airflow)BigQueryDbtDataplexKubernetesPythonGo

Company Brief

Circle

Provides blockchain-based financial infrastructure and stablecoins (notably USDC and EURC) and payment solutions for enterprises, developers, and financial institutions to enable programmable money and global payments.

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 2013

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Circle

2 months ago

Senior Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance across domains.
•Design and scale reliability and observability frameworks, including SLI/SLO models, lineage tracking, monitoring, and alerting patterns.
•Establish and evolve incident management practices, including severity models, escalation paths, on-call structures, and blameless postmortems.
•Standardize data engineering SDLC practices, including testing strategies, CI/CD, versioning, and reusable frameworks.
•Drive cross-functional prioritization of reliability initiatives and lead complex, high-impact data initiatives in ambiguous environments.

Pay and Benefits

Salary: USD 225,000 - 290,000 annually

Key Requirements

•Extensive experience designing and operating scalable data platforms focused on reliability, quality, and observability.
•Deep expertise in data architecture, including data modeling, pipeline design, and distributed data systems.
•Proven ability to define and implement data quality frameworks, including SLAs, data contracts, and governance standards.
•Strong experience establishing SLI/SLO frameworks with monitoring and alerting for large-scale data systems.
•Demonstrated ability to lead complex cross-team technical initiatives and drive stakeholder alignment.

Experience:FintechPaymentsCrypto

Skills:Cross-team leadershipStakeholder alignmentAccountabilityContinuous improvement

Tech Stack:Astronomer (Airflow)BigQueryDbtDataplexKubernetesPythonGo

Company Brief

Circle

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 2013

Glassdoor: 4.1

Website LinkedIn Glassdoor