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

Mill

Data Engineer - Data Platform

San Bruno, CA · On-site

$185K - $210K/yr

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that ... Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

Mill

Data Engineer - Data Platform

San Bruno, CA · On-site

$185K - $210K/yr

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that ... Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

Whatnot

Data Engineer

San Francisco, CA · On-site

$180K - $260K/yr

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.

DocuSign

Data Engineer

San Francisco, CA · Hybrid

$132K - $206K/yr

... 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 ...

Hirekeyz Inc

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 ...

MrBeast

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Event pipelines that handle high-volume user events with the right instrumentation contracts ... Partner with data science, product, and SRE stakeholders to translate requirements into pipeline ...

New

Mill

Data Engineer - Data Platform

San Bruno, CA · On-site

$185K - $210K/yr

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that ... Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

Mill

Data Engineer - Data Platform

San Bruno, CA · On-site

$185K - $210K/yr

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that ... Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

Staffingine LLC

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 ...

NextDeavor Inc.

Data Engineer 1 (#2702)

San Jose, CA · On-site

$55.21 - $69.01/hr

Data Engineer 1 (#2702) Full-time San Jose, CA You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits ...

Deloitte

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Deloitte

Data Engineer II

San Jose, CA

$134K - $161K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

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Showing results 21-40

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 Sep 4, 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 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 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 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:

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $144,961 per year, or $69.7 per hour.

Data Engineer - Data Platform

Mill

San Bruno, CA • On-site

$185K - $210K/yr

Full-time

Posted 15 days ago

Job description

The Role

As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data quality, and the self-serve analytics platform (Hex + Snowflake) our business teams rely on. You'll work closely with the Senior Data Engineer owning our recommendations platform, contributing to and supporting that work as needed, with the opportunity to grow into deeper recommendation/LLM-based work over time. You'll partner closely with product, engineering, data analytics, and marketing teams.

What You'll Do
  • Design, build, and maintain scalable data pipelines across Mill's product and operational systems
  • Manage and maintain data infrastructure that powers our product and operational systems, ensuring it's reliable and ready to feed external customers and downstream analytics
  • Collaborate with software engineers to instrument new product features and ensure event data flows cleanly 
  • Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal business teams
  • Help maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on
  • Own data quality monitoring - build alerting, validation frameworks, and observability tooling so data issues get caught before they become business problems
What We're Looking For
  • 3-5 years of experience operating data engineering systems in production
  • Have built and operated data pipelines in production using Python, SQL, and tools like dbt, Airflow, Fivetran, or similar against a cloud data warehouse (e.g., Snowflake)
  • Have used Infrastructure as Code (e.g., Terraform, Pulumi) to provision and manage data infrastructure, with CI/CD discipline for pipeline and infra changes (automated testing, staged rollout, rollback)
  • Experience working with transactional databases (e.g., PostgreSQL, Amazon RDS) as a data source, including understanding how OLTP systems differ from warehouse/analytical workloads
  • Comfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift
  • A bias toward action
Nice to Have
  • Exposure to recommendation, personalization, or LLM-based product logic - not required, but a strong plus given the team's direction
  • Experience building or supporting self-serve analytics tooling (Hex, Looker, or similar)
  • Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)
  • Experience with Mixpanel, Tableau, or similar BI/analytics tools
  • Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse
  • Experience with event tracking or product analytics

The estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

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