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Data Technology Jobs in California (NOW HIRING)

Qode

Data Tech Lead

CA · On-site

Core Skills: • AWS • Data engineering • Data Tech Lead expertise Supporting Skills: • Support care concepts • Data analytics for personalization and prediction Required Qualifications • 8 ...

Qode

Data Tech Lead

Emeryville, CA · On-site

Core Skills: · AWS · Data engineering · Data Tech Lead expertise Supporting Skills: · Support care concepts · Data analytics for personalization and prediction Required Qualifications · 8-12 ...

CYNET SYSTEMS

Data Tech Lead with Java

Aliso Viejo, CA · On-site

$61 - $66/hr

Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration. * Experience designing enterprise-scale data lake or lakehouse architectures. * Knowledge of streaming ...

Ross Stores, Inc

Director, IT

Dublin, CA · On-site

$137K - $259K/yr

The Director, IT Data Technologies, will lead our data technology platform. This role will be a hybrid work model located in our corporate office in Dublin, CA &, and will report to the Sr. Director ...

Ross

Director, IT

Dublin, CA · On-site

$137K - $259K/yr

The Director, IT Data Technologies, will lead our data technology platform. This role will be a hybrid work model located in our corporate office in Dublin, CA &, and will report to the Sr. Director ...

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How much do data technology jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data technology in California is $38.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.65 and $58.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Technology position, and why are they important?

To thrive in a Data Technology role, you need strong analytical skills, experience in data management, and knowledge of programming languages such as SQL or Python, often supported by a bachelor’s degree in computer science, information systems, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (AWS, Azure, or Google Cloud), and relevant certifications (such as Certified Data Management Professional) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are key soft skills for success. These competencies help ensure the integrity, accessibility, and actionable value of data within an organization.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining practical experience through projects or certifications. Age is less important than your ability to learn and adapt to evolving technologies in the field.

What is a Data Technology job?

A Data Technology job focuses on managing, processing, and analyzing data using various tools and technologies. Professionals in this field work with databases, cloud platforms, and big data frameworks to store, organize, and extract insights from data. They may also develop data pipelines, ensure data quality, and optimize data infrastructure for business and analytical use.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, earning six-figure salaries or higher, especially in large organizations. Senior roles such as Data Architects or Machine Learning Directors also command high compensation due to their expertise in data infrastructure and advanced analytics. These positions often require extensive experience, advanced skills in data management, and relevant certifications.

What are the typical responsibilities of someone working in Data Technology?

Professionals in Data Technology are typically responsible for developing and maintaining data infrastructure, designing databases, ensuring data quality, and implementing data security standards. Day-to-day tasks may involve collaborating with analysts, engineers, and business stakeholders to enable data-driven decision-making and optimize existing systems. As part of a cross-functional team, you might be tasked with troubleshooting data issues, integrating new data sources, and supporting the deployment of analytics solutions. This role offers exposure to a fast-evolving environment, expands your technical skills, and often provides opportunities to progress toward senior data engineering or data architect positions.

What does a data technologist do?

A data technologist designs, implements, and manages data systems and infrastructure to support data collection, storage, processing, and analysis. They often work with tools like databases, data pipelines, and cloud platforms, and may have skills in programming, data modeling, and data security to ensure efficient and secure data operations.

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

In the field of data technology, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Engineer can reach or exceed $500,000 annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, analytics, and leadership, and often involve performance-based bonuses or stock options.
What are the most commonly searched types of Data Technology jobs in California? The most popular types of Data Technology jobs in California are:
What are popular job titles related to Data Technology jobs in California? For Data Technology jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Technology jobs in California look for? The top searched job categories for Data Technology jobs in California are:
What cities in California are hiring for Data Technology jobs? Cities in California with the most Data Technology job openings:
Data Technology jobs near you
Infographic showing various Data Technology 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,744 per year, or $38.3 per hour.

Data Tech Lead

Qode

CA • On-site

Full-time

Posted 22 days ago

Job description

Core Skills:
• AWS
• Data engineering
• Data Tech Lead expertise
Supporting Skills:
• Support care concepts
• Data analytics for personalization and prediction
Required Qualifications
• 8-12+ years of experience in Life Sciences, Healthcare IT, or Patient Engagement platforms
• Strong understanding of patient support programs, digital health solutions, and CRM ecosystems
• Hands-on experience working with AWS-based architectures and data platforms
• Ability to work across business, engineering, and data teams
• Strong communication, documentation, and stakeholder management skills
Nice to Have
• Experience with AI/ML solutions in healthcare
• Exposure to Snowflake, IoT-based health devices, or real-world evidence platforms
• Prior experience working with pharma patient services or hub programs

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