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Data Acquisition Engineer Jobs in California (NOW HIRING)

Software Engineer, Data Acquisition

Sunnyvale, CA · On-site

$133K - $160K/yr

Responsibilities : • Lead and manage engineering projects focused on data acquisition, including web crawling, data ingestion, and API development. • Collaborate with cross-functional teams (AI ...

Software Engineer, Data Acquisition

San Francisco, CA · On-site

$134K - $162K/yr

They are looking for a skilled Software Engineer to join their Data Acquisition team, responsible for all aspects of data collection to support model training operations. Responsibilities : • Own ...

Clinical Data Acquisition Specialist Serve as the subject matter expert for the planning, set-up ... Data Engineering, Standards and other Study Execution Team members. Participate in preparing ...

We currently looking for POS Developer - Legacy Modernization our client location based on Pleasonton, CA Onsite. Please see the below for your reference Title: AI Training Data Acquisition Analyst ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

The Data Engineer will develop systems and processes for data acquisition, preparation, and quality evaluation to support model training, collaborating with various teams to ensure high-quality data ...

Software Engineer - Data

Palo Alto, CA · On-site

$175K - $275K/yr

This includes partnering closely with acquisition teams to identify where valuable data can be ... As a Software Engineer / AI Engineer on SpaceXAI's Data team, you will be responsible for ...

This includes partnering closely with acquisition teams to identify where valuable data can be ... As a Software Engineer / AI Engineer on SpaceXAI's Data team, you will be responsible for ...

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Data Acquisition Engineer information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data acquisition engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data acquisition engineer in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data acquisition engineer?

A Data Acquisition Engineer is typically responsible for designing, developing, and maintaining data acquisition systems that capture and process data from various sensors and equipment. On a daily basis, you might configure hardware and software interfaces, write scripts or programs to automate data collection, and validate data integrity. You’ll often collaborate closely with other engineers, researchers, and stakeholders to define data requirements and support testing activities. Regular troubleshooting and performance optimization of data acquisition setups are also key aspects of the role.

What is a data acquisition engineer?

A Data Acquisition Engineer is responsible for designing, implementing, and maintaining systems that collect and process data from various sources. They work with sensors, instrumentation, and software to ensure accurate and reliable data collection for analysis and decision-making. These engineers often develop custom hardware and software solutions to integrate different data acquisition methods. Their role is critical in industries such as manufacturing, automotive testing, aerospace, and research, where precise data is needed for optimization and innovation.

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

To excel as a Data Acquisition Engineer, you need a solid background in engineering or computer science, experience with data collection protocols, and proficiency in programming languages such as Python, LabVIEW, or MATLAB. Familiarity with data acquisition hardware (e.g., NI DAQ, PLCs), relevant software platforms, and certifications like NI Certified LabVIEW Developer can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills are valuable in collaborating with cross-functional teams and troubleshooting complex systems. These skills are crucial to ensure reliable, accurate data collection processes and successful integration within project goals.

What are the most commonly searched types of Data Acquisition Engineer jobs in California? The most popular types of Data Acquisition Engineer jobs in California are:
What job categories do people searching Data Acquisition Engineer jobs in California look for? The top searched job categories for Data Acquisition Engineer jobs in California are:
Infographic showing various Data Acquisition Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Software Engineer, Data Acquisition

CurieTech AI

Sunnyvale, CA • On-site

$133K - $160K/yr

Full-time

Re-posted yesterday


Job description

Job Summary:
CurieTech AI is a silicon valley based startup that is building cutting edge AI software to help software development teams be more productive. The Data Acquisition team is responsible for all aspects of collecting data to train models, focusing on writing deep crawlers and developing data pipelines.
Responsibilities:
• Lead and manage engineering projects focused on data acquisition, including web crawling, data ingestion, and API development.
• Collaborate with cross-functional teams (AI/ML, Infrastructure).
• Design and implement highly scalable distributed systems to efficiently handle unstructured data.
• Develop algorithms for data indexing and advanced search functionalities.
• Build and maintain backend services for data storage, utilizing key-value databases and synchronization methods.
• Deploy solutions within a Kubernetes Infrastructure-as-Code environment, ensuring system reliability through routine checks.
• Conduct experiments on data to analyze and enhance system performance.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or a related field.
• 4+ years of industry experience in software development, with a focus on data systems and APIs.
• Strong expertise in large stateful distributed systems and data processing.
• Proficiency in Kubernetes and Infrastructure-as-Code principles.
Preferred:
• Familiarity with large web crawlers is a plus.
Company:
Our mission is to empower Integration engineers and architects with the help of AI agents. Founded in 2023, the company is headquartered in Sunnyvale, California, US, , with a team of 11-50 employees. The company is currently Early Stage.