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

Data Engineer

San Francisco, CA · On-site

$180K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As our newest Data Engineer , you'll build and scale the systems that power data-driven decisions ... Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.

Data Engineer

San Francisco, CA · On-site

$132K - $206K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... contract lifecycle management (CLM). What you'll do Docusign is seeking a talented and results ... As a member of the Global Data Analytics (GDA) Team, the Data Engineer leverages a variety of ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and ...

Data Engineer

San Francisco, CA · Hybrid

$132K - $206K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... contract lifecycle management (CLM). What you'll do Docusign is seeking a talented and results ... As a member of the Global Data Analytics (GDA) Team, the Data Engineer leverages a variety of ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Job Location: San Francisco, CA Job Type ... Contract * 7+ years of experience in Amazon Web Services (AWS) Cloud Computing * Strong background ...

The Staff Data Engineer will own and evolve the foundational data systems that power NexHealth ... data contracts and interface boundaries • Shape how the company can eventually leverage data ...

Staff Data Engineer - Data Engineering

Sunnyvale, CA · On-site

$134K - $161K/yr

Establish durable data contracts, system boundaries, and reusable engineering patterns across teams. * Identify and resolve systemic performance, reliability, and scalability constraints across the ...

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Contract/Full-Time About the Role We are seeking a Senior Data Engineer to join an innovative company in the industrial technology space. This is an opportunity to own and evolve a production data ...

Senior Data Engineer

Redwood City, CA · On-site

$129K - $176K/yr

Help define and implement data contracts, integration patterns, source-to-target mappings, metadata standards, and stewardship practices. * Promote a product-minded engineering culture focused on ...

New

Senior Data Engineer

Redwood City, CA · On-site

$129K - $176K/yr

Help define and implement data contracts, integration patterns, source-to-target mappings, metadata ... Promote a product-minded engineering culture focused on business impact, trust, adoption, and ...

New

Showing results 21-40

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 Aug 14, 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 contract?

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?

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 are popular job titles related to Data Engineer Contract jobs in San Ramon, CA?

For Data Engineer Contract jobs in San Ramon, CA, the most frequently searched job titles 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:

Infographic showing various Data Engineer Contract job openings in San Ramon, CA as of August 2026, with employment types broken down into 75% Full Time, 3% Part Time, 3% Temporary, and 19% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $144,961 per year, or $69.7 per hour.

Data Engineer

Whatnot

San Francisco, CA • On-site

$180K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago


Job description

Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
Data is crucial to Whatnot's mission to bring people together through commerce.
As our newest Data Engineer, you'll build and scale the systems that power data-driven decisions across the company. You'll work directly with stakeholders across the business - such as product, sales, marketing, finance, and trust teams - to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot's internal and external growth.
On any given day, you will:
  • Own data architecture end-to-end. Define how we capture, model, and serve critical business data-then implement it in production. You'll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
  • Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains-user activity, transactions, experimentation, marketing performance, and operational telemetry-with tight guarantees for latency, completeness, and accuracy.
  • Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
  • Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
  • Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
  • Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.

Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
You
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
  • Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
  • Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
  • Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  • Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
  • Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
  • Enjoy partnering across disciplines-engineering, product, analytics-to translate messy business requirements into elegant data systems.
  • Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.

If designing the data backbone that powers Whatnot's growth, insights, and product innovation excites you, we'd love to meet you.
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
Compensation
For Full-Time (Salary)
US based applicants: $180,000/year to $260,000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
  • Generous Holiday and Time off Policy
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
    • Home office setup allowance
    • Monthly allowance for cell phone and internet
  • Care benefits
    • Monthly allowance for wellness
    • Annual allowance towards Childcare
    • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Monthly allowance to dogfood the app
    • All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
  • Parental Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.