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Technical Data Jobs in California (NOW HIRING)

United IT

Technical Data Analyst

Mountain View, CA · On-site

Job Requirements · 8+ years of work experience involving quantitative data analysis is preferred · Technical undergraduate degree (Engineering, Computer Science, Statistics, Analytics etc.) or ...

Kaav Inc.

Technical Data Analyst

Mountain View, CA · On-site

Technical Data Analyst (TDA) Location: Bay Area (Hybrid-Pref). JD: * 5+ years of work experience involving quantitative data analysis is preferred * Technical undergraduate degree (Engineering ...

Samprasoft

Technical Data Analyst

Oakland, CA · On-site

Technical Business/Data Analyst Digital Intelligence Systems (DISYS) has a challenging and critical long-term engagement in the Healthcare software domain for a savvy data-driven Technical Business ...

Prosync

Technical Writer II

Port Hueneme, CA · On-site

They access technical data such as drawings, specifications, parts lists, and manufacturer information to integrate technical details into clear, concise, and standardized documentation. Key ...

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Technical Data information

Is 40 too late for data science?

Age is not a strict barrier for a career in data science, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience through projects or certifications. Continuous learning and adapting to new technologies are key regardless of age.

What is the highest paying job in data?

The highest paying roles in data typically include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries often exceeding $150,000 annually. These positions require advanced skills in data analysis, machine learning, and leadership, and often demand extensive experience and relevant certifications.

What jobs pay 500,000 a year in the US?

In the field of technical data, high-paying roles such as senior data scientists, data engineering managers, and chief data officers can earn $500,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in data management and analytics.

What does a data technician do?

A data technician is responsible for collecting, organizing, and maintaining data to ensure accuracy and accessibility. They often use tools like databases and spreadsheets, perform data entry, and support data analysis tasks in various industries. Attention to detail and knowledge of data management software are essential skills for this role.
What cities in California are hiring for Technical Data jobs? Cities in California with the most Technical Data job openings:
Technical Data jobs near you
Infographic showing various Technical Data job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Technical Data Analyst

Technical Data Analyst

United IT

Mountain View, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Requirements

· 8+ years of work experience involving quantitative data analysis is preferred

· Technical undergraduate degree (Engineering, Computer Science, Statistics, Analytics etc.) or equivalent experience

· Advanced SQL skills to get the data you need from a data warehouse and perform data segmentation and aggregation from scratch.

· Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing)

· Familiarity with AWS (Redshift, Athena, and AWS core concepts)

· Familiarity with data modeling

· Familiarity in analytical and data modeling tools, such as Python, R, or PyCharm

· Self-starter who attacks the problem with excellent critical-thinking skills, creativity, and end-to-end quantitative and qualitative analysis

· Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

· High level of professionalism, passion, strong organization, time management and task prioritization skills with attention to detail and bias to action

· Inquisitive, curious, and bias towards learning and continuous improvement

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