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Contract Data Engineering Jobs in Berkeley, CA (NOW HIRING)

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern ... Finance domain knowledge (GL, revenue, costs, contracts). * Microsoft Dynamics or ERP data ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern ... Finance domain knowledge (GL, revenue, costs, contracts). * Microsoft Dynamics or ERP data ...

... engineering, data analytics, and marketing teams. What You'll Do * Design, build, and maintain ... Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

... engineering, data analytics, and marketing teams. What You'll Do * Design, build, and maintain ... Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

New

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 contracts and interface boundaries • Shape how the company can eventually leverage data ... Required : • 7+ years of experience in data engineering or software engineering with a focus on ...

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 ...

You'll partner closely with product, engineering, data analytics, and marketing teams. What You'll ... Familiarity with data contract or data mesh patterns * Experience with event tracking or product ...

Showing results 41-60

Contract Data Engineering information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do contract data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract data engineering in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 per year, depending on experience, location, and employer.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are the most commonly searched types of Data Engineering jobs in Berkeley, CA?

The most popular types of Data Engineering jobs in Berkeley, CA are:

What are popular job titles related to Contract Data Engineering jobs in Berkeley, CA?

For Contract Data Engineering jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Contract Data Engineering jobs in Berkeley, CA look for?

The top searched job categories for Contract Data Engineering jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Contract Data Engineering jobs?

Cities near Berkeley, CA with the most Contract Data Engineering job openings:

$133K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to operational safety in the field, data analysis, and regulatory reporting, ensuring autonomous vehicles operate safely and meet all federal and state compliance requirements. This role will be pivotal in evaluating and improving the behavioral safety and hardware performance of our autonomous vehicles by leveraging fleet and simulation data. We analyze fleet data to identify critical safety events, evaluate system behavior, and refine strategies that directly influence how our vehicles behave in complex environments. As an AV Safety Data Engineer, you will play a critical role in developing and maintaining robust data infrastructure to surface safety-relevant interactions, assess AV events, and inform autonomy development through data-driven insights. You will build scalable pipelines and metrics that ensure we receive strong, reliable signals from data, directly influencing how we assess system readiness and accelerate safe deployment, while also supporting the crucial task of event triage and analysis. In this role you will: Develop and maintain miners that identify events of interest from fleet and simulation data. Improve the accuracy and efficiency of existing miners through advanced statistical and ML techniques, ensuring high signal quality. Build scalable data pipelines and dashboards to monitor miner performance, signal quality, and key safety metrics. Conduct exploratory data analyses to uncover trends, failure modes, and opportunities to improve vehicle behavior, specifically focusing on critical safety events and system anomalies. Triage and assess AV events including both system behavior and hardware related anomalies, for potential safety/legal/regulatory concerns or system gaps, using contextual judgment grounded in safety, legal, and engineering principles. Develop and maintain clear triage guidelines and criteria for both onshore and offshore triage teams. Support regulatory reporting processes by providing data and analysis as needed. Qualifications Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems Engineering, Civil Engineering, Mechanical Engineering, or Electrical Engineering. 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry. Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines. Familiarity with statistics and probability, and experience with sampling and estimation methodologies. Proven ability to design metrics, run analyses, and translate findings into actionable recommendations. Strong understanding of behavioral safety concepts and the ability to interpret vehicle behavior in real-world contexts, along with knowledge of AV requirements, road user behavior, and traffic regulations. Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences. Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis. Bonus Qualifications PhD in Engineering or a related technical field. Prior experience with AV safety or system behavior triage. Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker) to support analysis. Familiarity with ISO 26262 or other functional safety standards

Benefits

Health Care Plan (Medical, Dental & Vision)

Life Insurance (Basic, Voluntary & AD&D)

Paid Time Off (Vacation, Sick & Public Holidays)

Training & Development

Retirement Plan (401k, IRA)

Free breakfast and lunch