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Remote Data Acquisition Engineer Jobs in California

Faraday Future

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Data Acquisition: Building scalable tools for high-fidelity data collection from both * physical ... Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ...

New

Faraday Future

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Data Acquisition: Building scalable tools for high-fidelity data collection from both * physical ... Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ...

New

Fox

Data Warehousing Specialist

Los Angeles, CA · On-site +1

$183K - $202K/yr

Requires a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics ... Also requires experience in the following: 1) Data warehousing on Snowflake; 2) Data acquisition ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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Remote Data Acquisition Engineer information

What is a remote data acquisition engineer?

A Remote Data Acquisition Engineer is a professional who designs, implements, and manages systems that collect and transmit data from various remote locations. They work with hardware and software solutions to ensure accurate and efficient data gathering, often for industries like energy, environmental monitoring, and manufacturing. These engineers troubleshoot connectivity issues, ensure data integrity, and may also analyze the collected data. The role typically involves working with sensors, data loggers, communication networks, and sometimes cloud platforms. Remote Data Acquisition Engineers play a critical role in enabling real-time decision-making and automation for organizations.

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

To thrive as a Remote Data Acquisition Engineer, you need a strong background in data collection methodologies, signal processing, and relevant engineering fields such as electrical or computer engineering, often supported by a bachelor's degree. Proficiency with data acquisition systems (DAQ), programming languages like Python or LabVIEW, and familiarity with remote monitoring hardware and networking protocols is typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These skills enable efficient and accurate data gathering, troubleshooting, and collaboration across distributed teams, ensuring project success.

What are some common challenges faced by a remote data acquisition engineer when collaborating with distributed teams?

Remote Data Acquisition Engineers often work with cross-functional teams spread across different locations and time zones. One common challenge is ensuring seamless communication when troubleshooting data collection issues or deploying new acquisition systems. Engineers must be proactive in documenting processes and using collaborative tools to keep all stakeholders informed. Regular virtual meetings and clear documentation help bridge gaps, but remote work also requires strong self-management skills to handle tasks independently while staying aligned with the team’s goals.

What is the difference between Remote Data Acquisition Engineer vs Data Analyst?

AspectRemote Data Acquisition EngineerData Analyst
Required CredentialsBachelor's in Engineering, Computer Science, or related field; technical certificationsBachelor's in Statistics, Mathematics, or related field; data analysis certifications
Work EnvironmentFieldwork, remote data collection, technical setupOffice or remote, data interpretation and reporting
Employer & Industry UsageTech, manufacturing, research firmsBusiness, finance, marketing, healthcare
Search & Comparison IntentTechnical data collection rolesData interpretation and reporting roles

The Remote Data Acquisition Engineer focuses on collecting raw data through technical methods, often involving fieldwork and specialized equipment. In contrast, Data Analysts interpret, analyze, and visualize data to support decision-making. While both roles require strong analytical skills, the engineer emphasizes data collection techniques, whereas the analyst emphasizes data interpretation.

What are popular job titles related to Remote Data Acquisition Engineer jobs in California?

For Remote Data Acquisition Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Acquisition Engineer jobs in California look for?

The top searched job categories for Remote Data Acquisition Engineer jobs in California are:

What cities in California are hiring for Remote Data Acquisition Engineer jobs?

Cities in California with the most Remote Data Acquisition Engineer job openings:

Remote Data Acquisition Engineer jobs near you
Infographic showing various Remote Data Acquisition Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

REMOTE Data Analyst

Catasys Health

Los Angeles, CA • Remote

Full-time

Re-posted 24 days ago

Job description

Company Description

Catasys is making a positive impact on people's lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.  This has led us to where we are today: growing fast and saving lives as we do.

To support our explosive growth, we're looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you're passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible.

Impact lives in so many ways
You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values.
The new face of mental health
Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health.
Career options
Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.   Join our team and take your career to the next level with Catasys. We are committed to promoting from within.
Excellent compensation

Job Description

As a Data Analyst, you will drive innovation, growth, and contribute to the company's ability to scale. Your work continually broadens access to reliable, accurate, and timely data to improve decision making. You will transform data into insights, leading to faster and more extensive exploratory analysis and quicker action based on evidence. Your insights will help grow the business by accelerating sales and customer expansion cycles, reinforcing Catasys' position as an industry leader in data and analytics. You excel at synthesize and communicate complex concepts and analyses in easy to understand ways.
 

Responsibilities

  • Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.
  • Find actionable strategic insights through funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products.
  • Data storytelling: quantify user journeys to help identify opportunities to improve member outcomes and team productivity.
  • Become a Catasys subject matter expert to understand and anticipate the data needs of customers, Product, User Experience, and internal stakeholders.
  • Translate high-priority business problems to solve into concise measures.
  • Lead the Analytics Center of Excellence: a cross-functional team of Data Champions within the organization.
  • Drive a culture of analytical rigor and transparency, and shared understanding of measures
  • Work both collaboratively and autonomously.
  • Define KPIs, build automated dashboards, reports, and models to help teams make faster better decisions.
  • Work with engineering and product to implement, quality assurance, and monitor our logging and metrics.
Qualifications
  • Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
  • 2+ years' experience with PowerBI DAX Programming
  • Expertise performing quantitative analysis
  • Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
  • Strong understanding of statistical methods and applications (A/B testing, probability, regression)
Additional Information

This position is REMOTE.

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