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

AI & Data Engineer

San Francisco, CA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

You'll partner closely with our product and application engineers to define data contracts, build APIs, and ensure that simulation and customer-facing features are backed by data that is consistent ...

Define and enforce clear data contracts and interface boundaries * Shape how the company can ... A background in strong engineering cultures or top-tier product environments where quality ...

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with product and engineering to improve instrumentation, event taxonomy, data contracts, and telemetry coverage for new features. * Make data self-serve through clear dashboards, documented ...

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with product and engineering to improve instrumentation, event taxonomy, data contracts, and telemetry coverage for new features. * Make data self-serve through clear dashboards, documented ...

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with product and engineering to improve instrumentation, event taxonomy, data contracts, and telemetry coverage for new features. * Make data self-serve through clear dashboards, documented ...

Data Engineer, CX

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, Payments

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.

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Contract-to-Hire (six-month contract term) * Location: Hybrid -- 2x/week onsite; San Diego, Long ...

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134K - $162K/yr

Lead Data Engineer Location: San Francisco, CA (1-2 days a week onsite is must) Job Type ... W2 Contract Contract Length: 9 months with possible extension Experience Level: Senior/Lead Main ...

Your Role Ascend is hiring a Solutions Engineer (Contract) to take full ownership of critical AI ... automation or data systems. Contract Details * Location: On-site in San Francisco (SoMa)

Showing results 41-60

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 15, 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.

AI & Data Engineer

Mercator

San Francisco, CA • On-site

$160K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted 24 days ago


Job description

Company Description
Mercator is building AI agents that coordinate global supply chains. Today's systems leak $1.7T in waste each year in retail alone - in overproduction, lost revenue, and unnecessary emissions.
Mercator's founders are seasoned technical operators with a decade of experience leading cutting-edge AI and simulation efforts across Google (Gemini, Tensorflow, & Google X). We recently raised $5M in seed funding from leading Silicon Valley investors and are scaling our small, elite engineering team to meet growing customer demand.
Role Description
As Mercator's first AI/Data Systems engineer, you'll build the core pipelines that transform messy, unstructured inputs into clean, structured, reliable data that powers our entire product. This is one of the most business-critical roles at the company: every simulation, every feature, and every customer decision relies on the accuracy and intelligence of the systems you build.
You'll own end-to-end ingestion and reasoning: extracting data from varied sources, interpreting and mapping it into structured schemas, reconciling inconsistencies, validating correctness, and indexing it for retrieval and grounding. You'll design LLM-driven reasoning workflows, build RAG pipelines, and architect the gold-standard data store that becomes the trusted source for everything downstream.
You'll partner closely with our product and application engineers to define data contracts, build APIs, and ensure that simulation and customer-facing features are backed by data that is consistent, explainable, and production-grade. You'll prototype quickly, iterate with real customer inputs, debug ambiguous failures, and harden the systems so they scale with product complexity.
This role sits at the intersection of LLMs, retrieval, data modeling, and systems design; the pipelines you build will define what the product can understand, simulate, and ultimately deliver for customers.
Benefits
  • Comprehensive health, dental, and vision insurance
  • As a company we'll work from a fun destination (think: skiing, surfing) two weeks a year

Applicants must have valid U.S. work authorization. We are able to support H-1B transfers but are not initiating new visa sponsorships at this time.