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Data Engineer Contract Jobs in San Ramon, CA (NOW HIRING)

Circle

Senior Staff Data Engineer

San Francisco, CA · On-site +1

This includes establishing company-wide standards for data quality, contracts, and governance ... Develop and standardize data engineering SDLC practices, including testing strategies, CI/CD ...

Circle

Senior Staff Data Engineer

San Francisco, CA

$225K/yr

This includes establishing company-wide standards for data quality, contracts, and governance ... Develop and standardize data engineering SDLC practices, including testing strategies, CI/CD ...

GC AI

Founding Data Engineer, AI Platform

San Mateo, CA · On-site +1

$165K - $350K/yr

Build pipelines that consolidate product usage data, CRM data, billing, customer contract data, and ... Define data engineering practices, tooling, and standards as the first hire on what will become a ...

New

Arena Club

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

... data contracts and governance at the Silver layer to insulate downstream consumers from source ... in data engineering with production pipeline ownership (not just analytics or BI) Deep AWS ...

Source One Technical Solutions

Be Seen First

Database Engineer

Foster City, CA · On-site

$82.96/hr

Database Engineer (Contract) Work Environment: On-site (5 days/week) Pay Rate: $82.96/hour (W ... This role will partner closely with application engineering, infrastructure, and data teams to ...

New

Arena Club

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

... data contracts and governance at the Silver layer to insulate downstream consumers from source ... data engineering with production pipeline ownership (not just analytics or BI) • Deep AWS ...

Arena Club

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

... data contracts and governance at the Silver layer to insulate downstream consumers from source ... data engineering with production pipeline ownership (not just analytics or BI) • Deep AWS ...

fal

Senior Software Engineer, Data

San Francisco, CA

$180K - $225K/yr

Partner with infra, data and product engineering to define data contracts and instrumentation standards, and act as the connective tissue between operational systems and the analytics layer. What we ...

fal

Senior Software Engineer, Data

San Francisco, CA · On-site

$180K - $225K/yr

Partner with infra, data and product engineering to define data contracts and instrumentation standards, and act as the connective tissue between operational systems and the analytics layer. What we ...

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Showing results 1-20

All JobsData Engineer Contract JobsData Engineer Contract Jobs in San Ramon, CA

Data Engineer Contract information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

How much do data engineer contract jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data engineer contract in San Ramon, CA is $144,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in San Ramon, CA? The most popular types of Data Engineer jobs in San Ramon, CA are:
What job categories do people searching Data Engineer Contract jobs in San Ramon, CA look for? The top searched job categories for Data Engineer Contract jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Engineer Contract jobs? Cities near San Ramon, CA with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in San Ramon, CA as of June 2026, with employment types broken down into 2% As Needed, 66% Full Time, 29% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $144,961 per year, or $69.7 per hour.
Senior Staff Data Engineer

Senior Staff Data Engineer

Circle

San Francisco, CA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.
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 work environment where new ideas are encouraged and everyone is a stakeholder.
What you'll be responsible for
You will define and drive the strategy for data reliability, quality, and operational excellence across the organization, shaping how Circle builds and trusts its data ecosystem. This includes establishing company-wide standards for data quality, contracts, and governance; designing scalable reliability and observability frameworks; and institutionalizing incident management practices that promote a culture of accountability and continuous improvement. You will influence platform and architectural decisions to ensure long-term scalability, reduce systemic risk, and eliminate classes of failure across the data landscape. As a senior technical leader, you will also guide cross-team prioritization of reliability investments, define best-in-class data engineering practices, and lead complex, high-impact initiatives in ambiguous environments-driving alignment, mitigating risk, and delivering robust, scalable data solutions.
What you'll work on
  • Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance frameworks 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
  • Develop and standardize data engineering SDLC practices, including testing strategies, CI/CD, versioning, and reusable frameworks
  • Drive cross-functional prioritization of reliability initiatives, balancing technical debt, operational health, and product delivery across teams
  • Lead ecosystem-wide platform improvements, identifying architectural gaps, reducing fragmentation, and influencing build vs buy decisions
  • Own and deliver complex, high-impact data initiatives, aligning stakeholders, mitigating risks, and driving scalable solutions in ambiguous environments

What you'll bring to Circle
Core Requirements
  • Extensive experience designing and operating scalable data platforms with a focus on reliability, quality, and observability
  • Experience leveraging AI tools and methodologies to design and implement the solutions
  • 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, monitoring, and alerting for large-scale data systems
  • Demonstrated ability to lead complex, cross-team technical initiatives and drive alignment across stakeholders
  • Experience defining and scaling engineering best practices, including testing, CI/CD, and development standards for data systems

Preferred Requirements
  • Experience building or evolving data platforms in high-growth or highly regulated environments (e.g., fintech, payments, crypto)
  • Familiarity with modern data tooling ecosystems, including orchestration, transformation, metadata, and observability platforms
  • Experience with technologies such as Astronomer (Airflow), BigQuery, dbt, Dataplex, Kubernetes, and programming languages like Python or Go, or comparable tools in the modern data stack
  • Track record of influencing platform strategy, including build vs buy decisions and long-term architectural evolution

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: $225,000 - $290,000
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. 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 accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.
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