1

Data Optimisation Jobs in California (NOW HIRING)

Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

Cupertino, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

Mountain View, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. * Innovation and Problem-Solving Skills : As the role involves working with ...

next page

Showing results 1-20

Data Optimisation information

What are the most common challenges faced in a Data Optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

Is 40 too late for data science?

Data optimisation professionals and data scientists can enter the field at any age, as skills such as programming, statistical analysis, and machine learning are learnable through online courses and certifications. While some roles may prefer recent experience, many organizations value diverse backgrounds and lifelong learning, making age less of a barrier in this field.

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are less likely to be fully replaced by AI in the near future.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are popular job titles related to Data Optimisation jobs in California? For Data Optimisation jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in California look for? The top searched job categories for Data Optimisation jobs in California are:
Infographic showing various Data Optimisation job openings in California as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Data Engineer II, Ring Agent Platforms

Data Engineer II, Ring Agent Platforms

Amazon

Hawthorne, CA • On-site

Full-time

Posted 22 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,891 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientist and business stakeholders across various verticals. You will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience.

You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations. This role will be expected to utilize GenAI to build reliable, scalable data pipelines, which produce data optimized for our customers, who will also be utilizing AI Agent pipelines.
Key job responsibilities
This role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders.

These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.
This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene.
This role is expected to be able to learn and adapt quickly new technologies like GenAI tooling and business needs, building and improving frameworks and processes, incorporating new patterns and technologies where appropriate.
A day in the life
This Role will:
Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.
Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools.
Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.
Building/Improving/Maintaining frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data.
Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.
About the team
Ring Agent Platforms manages the centralized data repository for Ring and maintains GenAI Agent Platform. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information. We build and maintain a data platform for teams to onboard and build GenAI Agents and interact with data we collect and curate about the Ring Business.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US