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Data Collection Engineer Jobs in California (NOW HIRING)

Aeva, Inc.

Perception Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Role Overview: We're looking for an Perception Data Engineer who can own data collection, scalable data systems, and sensor data workflows. You'll work cross-functionally with perception, operations ...

Aeva, Inc.

Perception Data Engineer

Mountain View, CA · On-site

$154K - $209K/yr

Role Overview: We're looking for an Perception Data Engineer who can own data collection, scalable data systems, and sensor data workflows. You'll work cross-functionally with perception, operations ...

Aeva, Inc.

Perception Data Engineer

Mountain View, CA

$154K - $209K/yr

Role Overview: We're looking for an Perception Data Engineer who can own data collection, scalable data systems, and sensor data workflows. You'll work cross-functionally with perception, operations ...

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All JobsData Collection Engineer JobsData Collection Engineer Jobs in California

Data Collection Engineer information

See California salary details

$50.8K

$145.5K

$194.4K

How much do data collection engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data collection engineer in California is $145,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $193,400.00 per year, depending on experience, location, and employer.

What are some common challenges Data Collection Engineers face when gathering and managing large-scale datasets?

Data Collection Engineers frequently encounter challenges such as ensuring data quality and consistency across various sources, managing the volume and velocity of incoming data, and handling data privacy or compliance concerns. They must also design robust pipelines that can scale as data needs grow, and often collaborate with data scientists, software engineers, and product teams to align data collection strategies with project goals. Regularly troubleshooting data ingestion errors and adapting to changing data requirements are also key parts of the role.

What is the difference between Data Collection Engineer vs Data Analyst?

AspectData Collection EngineerData Analyst
Primary FocusDesigning and implementing data collection systems and pipelinesAnalyzing and interpreting data to support business decisions
Skills & CertificationsData engineering, SQL, programming (Python, Java), data architectureStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData engineering teams, IT infrastructure, cloud platformsBusiness units, analytics teams, reporting tools

While Data Collection Engineers focus on building and maintaining data pipelines and infrastructure, Data Analysts interpret the collected data to generate insights. Both roles often collaborate but serve different stages of the data lifecycle, with the engineer ensuring data availability and the analyst deriving actionable insights.

What are Data Collection Engineers?

Data Collection Engineers are professionals who design, implement, and maintain systems for gathering data from various sources. Their work involves creating pipelines to collect, store, and preprocess data, often in support of analytics, machine learning, or business intelligence projects. They work closely with data scientists and software engineers to ensure data quality and reliability. Data Collection Engineers may use a range of tools and technologies, such as APIs, web scraping frameworks, and database management systems, to automate and optimize data acquisition processes.

Is AI replacing data engineers?

AI is transforming the role of data collection engineers by automating certain tasks such as data preprocessing and integration, but it does not fully replace the need for human expertise in designing data pipelines, managing data quality, and ensuring security. Data engineers continue to be essential for building and maintaining the infrastructure that supports AI and machine learning systems. Skills in programming, database management, and cloud platforms remain critical in this evolving field.

What engineers make $500,000?

Senior data collection engineers or related roles in data engineering and analytics can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. These high salaries are often found in large tech companies, finance, or specialized industries where data infrastructure is critical. Compensation may include base salary, bonuses, and stock options.

What engineers make $300,000 a year?

Senior data collection engineers, especially those with extensive experience, advanced skills in data systems, and expertise in tools like SQL, Python, or cloud platforms, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized industries, or positions requiring leadership and strategic oversight.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in building and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, data engineering is considered a well-paying profession in the tech field.

What are the key skills and qualifications needed to thrive as a Data Collection Engineer, and why are they important?

To thrive as a Data Collection Engineer, you need a solid background in computer science or engineering, experience with data acquisition, and proficiency in programming languages like Python or Java. Familiarity with data collection frameworks, APIs, sensor technologies, and cloud platforms is commonly required, along with certifications in data engineering or related fields. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting issues. These skills and qualities are important to ensure accurate, reliable, and scalable data pipelines that support critical business analytics and decision-making.
What are popular job titles related to Data Collection Engineer jobs in California? For Data Collection Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Collection Engineer jobs in California look for? The top searched job categories for Data Collection Engineer jobs in California are:
Data Collection Engineer jobs near you
Infographic showing various Data Collection Engineer job openings in California as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,530 per year, or $70 per hour.

Vehicle Operator - Data Collection

Continuum Resource Network

Mountain View, CA • On-site

$25.75 - $32.25/hr

Full-time

Medical, Life, Retirement

Posted 27 days ago

Job description

We are partnering with a leading technology company to advance the future of autonomous vehicle development. We are seeking Vehicle Operators - Data Collection to play a critical role in testing, collecting data, and refining cutting-edge driving technology.

As part of this program, you will operate test vehicles in real-world conditions, gathering crucial data that directly impacts innovation. If you are highly observant, safety-conscious, and eager to contribute to the next generation of mobility, this role is for you. Join a fast-paced, dynamic team that values precision, collaboration, and continuous learning.


What You’ll Do:

  • Drive test vehicles for 4–8 hours daily on predefined routes, ensuring strict adherence to safety protocols.
  • Perform routine vehicle inspections to confirm roadworthiness and address any maintenance needs.
  • Conduct basic software operations to support real-time data collection.
  • Accurately document observations, issues, and anomalies encountered during test runs.
  • Collaborate with engineers, providing valuable feedback to enhance system performance.
  • Assist with vehicle logistics, maintenance coordination, and storage.

Requirements

  • Proven driving experience with any level of technical troubleshooting, such as application debugging, technical support, or gaming-related problem-solving.
  • Ability to drive for extended periods (6 hours daily).
  • Familiarity with technology, including software systems or hardware configuration, even from hobbies like gaming or DIY projects.
  • Excellent written and verbal communication skills.
  • Clean driving record and no criminal history.
  • Proactive, resourceful mindset.
  • Any technical certification, degree, or equivalent experience (e.g., IT support, modding games, or robotics) is a plus.

Benefits

  • Pre-tax commuter benefits
  • Employer-subsidized healthcare benefits
  • Flexible Spending Account for healthcare costs
  • All costs covered for short- and long-term disability and life insurance
  • 401k package