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Remote Data Optimization Jobs in California (NOW HIRING)

Lever Demo 2

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 ... Monitor and assess marketing inbound efforts (SEO, natural & paid search, content) Help growth ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Expertise in RDBMS, SQL, query optimization, and security * A Bachelor's degree in Computer Science ...

thatgamecompany

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Remote US & Canada We are seeking a highly motivated and autonomous Senior Data Analyst to join our ... Extensive experience writing optimized SQL to build and analyze datasets and associated data ...

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Strong SQL skills, including query optimization, data modeling, and working with large datasets.

Roku

Business Optimization Manager

Santa Monica, CA · Remote

$164K - $201K/yr

... Roku remote every day. We design, build, and optimize everything they see-from the Roku OS home ... Our global, cross-functional squad of product managers, designers, data scientists, and engineers ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and analyze data from internal databases to drive optimization and improvement of product development and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and analyze data from internal databases to drive optimization and improvement of product development and ...

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All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in California

Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

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 are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

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

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in California? The most popular types of Data Optimization jobs in California are:
What are popular job titles related to Remote Data Optimization jobs in California? For Remote Data Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in California look for? The top searched job categories for Remote Data Optimization jobs in California are:
What cities in California are hiring for Remote Data Optimization jobs? Cities in California with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in California as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Lever Demo 2

San Francisco, CA • Remote

$134K - $162K/yr

Contractor

Posted 26 days ago

Job description

Welcome to the Demo Job Listing for Lever! This is a fictional job created solely for demonstration purposes and is not an actual open position. We've crafted this listing to showcase the functionality of our ATS platform, including job descriptions, application processes, and more.

While you can explore the application process and features here, please note that applications submitted to this job will not be reviewed or responded to as it's for demonstration only.

We're looking for a bright engineer keen on data and passionate about Slite's mission.

This person will support all functions of the team with data, enforce our setup is reliable and will scale in the long run and coach the whole team to use data the right way to grow Slite.

Why now?
We've always been heavy data users, for product, marketing and growth.

From self-serve solution, we quickly shifted to more advanced systems in which we replicate all interesting data to a warehouse and add BI tools for reporting and querying on top of it.

We're now reaching a limit: we have needs on all front, and can't maintain all our analytics properly. We need dedicated expertise to own this part, manage our data pipeline and tooling, but also coach the team on data to make it use the right way.

We're ready to welcome Slite's first data engineer!

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 roadmap and next features accordingly.
Monitor and assess marketing inbound efforts (SEO, natural & paid search, content)
Help growth prioritize and measure the impact of its experiments
Maintain core reports and dashboard for all teams
Coach all team to properly use data in their job

Who will I be working with?
This is a true core role for the team as it comes in support of all its parts:
@mike VP product of Slite
@adrien growth engineer
@laure marketing
@chris CEO

What do I need?
Strong analytical skills
SQL proficiency
Great communication, especially written communication
Structured mindset
Data tooling experience
Javascript and Git minimal skillset
extra little plus
Extra JS and node expertise
AI skills: understanding and ability to work with ML models and foresee the potential it could unlock for Slite would be a huge added value.
Past remote experience

Benefits
Competitive salary & equity
Last generation Mac laptop
3 times a year offslites in cool places to celebrate & gather with the team
Buy any book policy

Where do I sign?
Wanna do the best job of your carrer with us ?
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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