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Remote Data Optimization Jobs in California (NOW HIRING)

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 ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Optimization & Reinforcement Learning: Multi-armed bandits, Deep RL (PPO, DQN) for sequential ...

Marketing spend optimization algorithms that go beyond our current Prophet model, incorporating ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Mines and analyzes data to drive optimization and improvement of product development, marketing ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Mines and analyzes data to drive optimization and improvement of product development, marketing ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Mines and analyzes data to drive optimization and improvement of product development, marketing ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Mines and analyzes data to drive optimization and improvement of product development, marketing ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... optimization * Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

... optimization, and capacity planning for both data and AI workloads * Stay current on Snowflake ... Employee divides their time between in-office and remote work. Access to an office location is ...

Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly. Handle large-scale datasets, ensuring data integrity and ...

... optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly. • Handle large-scale datasets, ensuring data integrity and consistency across ...

Data Engineer

Los Angeles, CA · Remote

$123K - $148K/yr

... query optimization, and stored procedures. * Work with MongoDB to design document schemas and ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Showing results 21-40

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 are the key skills and qualifications needed to thrive as a remote data optimization specialist?

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 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.

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 remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

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 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:

Infographic showing various Remote Data Optimization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

SEO Expert - Organic Growth Specialist

Mercor

San Francisco, CA • Remote

$60 - $100/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Marketing Expert — Organic Growth (AI Agent Environments)
Type: Contract
Compensation: $60–$100/hour
Location: Remote

Role Responsibilities

  • Design task briefs from real organic growth work, identifying issues and decisions a strong practitioner should make.
  • Specify necessary documents, dashboards, personas, and tool states for realistic task execution.
  • Write or review reference answers and criteria distinguishing strong responses from plausible-but-wrong ones.
  • Review AI agent attempts and evaluate them against established standards.
  • Diagnose issues from messy data, prioritize tasks, plan, execute, and orchestrate multi-step work across tools.

Qualifications

Must-Have

  • Hands-on practitioner experience in organic growth or SEO/AEO.
  • Fluent in Google Analytics 4, Google Search Console, Semrush or Ahrefs, and a CMS like Contentful.
  • Clear written reasoning to explain decision-making.

Preferred

  • Experience building AI training environments, RL environments, or simulated case studies.
  • Rubric Academy or Rubric Bootcamp certification.

Screening

  • Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.