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Data Analytics Developer Jobs in California (NOW HIRING)

Samsung SDS

Data analytics architect

San Jose, CA · On-site

Provide guidance and mentor developers in the data analytics team; Skills: Required In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper); Experience with Business ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

Qualifications Responsibilities : • Collaborate with business analysts and data scientists in ... Weka, Mahout, Sci-kit); • Practical experience with the Scala programming language (desirable ...

Omnicom

Data Science and Analytics_04

Los Angeles, CA · Hybrid

Data and Analytics Job Subfunction: Data Science and Analytics The Marketing Science team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment ...

Omnicom

Data Science and Analytics_04

Los Angeles, CA · Hybrid

Data and Analytics Job Subfunction: Data Science and Analytics The Marketing Science team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment ...

Omnicom

Data Science and Analytics_04

Los Angeles, CA · On-site

Data and Analytics Job Subfunction: Data Science and Analytics The Marketing Science team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment ...

Omnicom

Data Science and Analytics_04

Los Angeles, CA · On-site

Data and Analytics Job Subfunction: Data Science and Analytics The Marketing Science team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment ...

AEG

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for instrumenting web data collection, ensuring data quality, and developing insights to drive data-informed decisions across AXS' platforms.

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for instrumenting web data collection and leveraging that data to develop insights that drive decisions across AXS' platforms, collaborating ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer is responsible for instrumenting web data collection and leveraging that data to develop insights that drive data-informed decisions across AXS' web and mobile ...

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All JobsData Analytics Developer JobsData Analytics Developer Jobs in California

Data Analytics Developer information

See California salary details

$24

$54

$93

How much do data analytics developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics developer in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What does a data analytics developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

What are the key skills and qualifications needed to thrive as a data analytics developer?

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.

What are some common challenges data analytics developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What is the difference between Data Analytics Developer vs Data Analyst?

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are popular job titles related to Data Analytics Developer jobs in CA?

For Data Analytics Developer jobs in CA, the most frequently searched job titles are:

Data Analytics Developer jobs near you
Infographic showing various Data Analytics Developer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.

Data analytics architect

Samsung SDS

San Jose, CA • On-site

Full-time

Re-posted yesterday

Samsung SDS America rating

7.1

Company rating: 7.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

150th of 226 rated it services

Job description

Company Description

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success

At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.


Job Description

We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.

Qualifications

Responsibilities:

Collaborate with business analysts and data scientists in eliciting and articulating solution requirements; 

Design scalable data analytics platform and solutions;

Make architectural decisions for the data analytics platform and solutions;

Assess, benchmark and select data analytics technologies to be added to the big data platform;

Support development lead in determining architecturally significant requirements for data analytics solutions;

Design big data platform API;

Provide guidance and mentor developers in the data analytics team;

Skills:

Required

In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);

Experience with Business Intelligence frameworks and ETL tools;

Proficiency in the Java programming language;

Proficiency in the Unified Modeling Language;

Experience with RDBMS and SQL;

Experience architecting systems following the REST architectural style;

Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);

Practical experience with the Scala programming language (desirable);

Practical experience with the Play web framework (desirable);

High-level knowledge on the Spark eco-system;

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required



Additional Information

Tanya Danylevska

HR - talent acqusition

Samsung SDSA

[email protected]

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