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Remote Teradata Jobs in California (NOW HIRING)

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of ...

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Remote Commitment: 15-20 hours/week Role Responsibilities * Design graduate-level computational problems using domain-specific scientific software libraries such as PyMC , PyStan , FEniCS , and GUDHI

Data Engineer III

Menlo Park, CA · On-site +1

$134K - $162K/yr

Remote Inference Orchestration: Own the systems for remote ML model inference orchestration within pipelines, managing batching, retries, async jobs, and ensuring graceful degradation. Feature ...

Data Engineer

Los Angeles, CA · On-site +1

$130K - $170K/yr

This is a remote position. Compensation: $130,000.00 - $170,000.00 per year Maxana has been providing custom software and engineering solutions to leading companies since 2017. Our team is composed ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain BI tools and setup. Help product track the features usage and user behaviours. Help them shape the ...

Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over technical documentation. * Evaluate AI models on professional document understanding. * Develop ...

Data Platform Engineer

Union City, CA · Remote

$130K - $156K/yr

Remote, USA Job Type: Full-Time Experience Required: 5 to 8 years Eligibility: Male/Female both can apply Role Description We are looking for a Data Platform Engineer to build and improve the ...

$134K - $161K/yr

... Remote

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Remote Teradata information

What are the key skills and qualifications needed to thrive as a Remote Teradata professional, and why are they important?

To thrive as a Remote Teradata professional, you need a strong background in database management, SQL programming, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Teradata tools, data integration platforms, and certifications such as Teradata Certified Professional are commonly required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for effective remote collaboration and troubleshooting. These skills ensure efficient data management, seamless teamwork, and the ability to deliver solutions in distributed work environments.

How do Remote Teradata professionals typically collaborate with on-site teams and stakeholders?

Remote Teradata professionals often use a combination of video conferencing, instant messaging, and project management platforms to maintain close communication with on-site teams. They frequently participate in regular meetings to discuss project progress, troubleshoot issues, and align on database management strategies. Collaboration is essential, especially when working on large-scale data warehousing solutions, so remote professionals are expected to be proactive in providing updates and sharing insights. Clear documentation and consistent communication help bridge the gap between remote and on-site teams, ensuring seamless integration and efficient project delivery.

What is the difference between Remote Teradata vs Remote SQL Developer?

AspectRemote TeradataRemote SQL Developer
Required CredentialsTeradata certifications, SQL knowledgeSQL certifications, database knowledge
Work EnvironmentData warehousing, large-scale enterprise systemsApplication development, database management
Industry UsageData analytics, telecom, financeSoftware, finance, healthcare
Common Search/ComparisonYesYes

Remote Teradata professionals focus on managing and optimizing Teradata data warehouses, requiring specific Teradata certifications and experience with large-scale data systems. Remote SQL Developers work across various databases, including SQL Server, MySQL, and PostgreSQL, often with broader application development skills. While both roles involve SQL expertise, Remote Teradata roles are more specialized in data warehousing, whereas Remote SQL Developers have a wider scope in database and application development.

What are Remote Teradata jobs?

Remote Teradata jobs are positions that involve working with Teradata, a leading data warehousing and analytics platform, from a location outside the traditional office environment. These roles typically include responsibilities such as database administration, development, data analysis, and system maintenance, all performed remotely. Remote Teradata professionals use secure connections to access company systems, enabling them to manage large datasets, optimize queries, and support business intelligence initiatives from anywhere. This flexibility allows companies to hire talent from a broader geographic area while also giving employees a better work-life balance.
What are the most commonly searched types of Teradata jobs in California? The most popular types of Teradata jobs in California are:
What job categories do people searching Remote Teradata jobs in California look for? The top searched job categories for Remote Teradata jobs in California are:
What cities in California are hiring for Remote Teradata jobs? Cities in California with the most Remote Teradata job openings:
Infographic showing various Remote Teradata job openings in California as of June 2026, with employment types broken down into 56% Full Time, 11% Part Time, and 33% Contract. Highlights an 100% Remote job distribution.
Data Scientist

$130K - $170K/yr

Full-time

Posted 24 days ago


Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time