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Remote Data Optimization Jobs in California (NOW HIRING)

Red Door Interactive

Sr SEO Specialist

San Diego, CA · On-site +1

Analyze data, identify trends, and translate insights into clear recommendations clients can act on ... Remote candidates in approved U.S. locations will be considered if they are a good fit, but must be ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

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 ...

Innowhyte Inc

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 ...

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 ...

Match Made Tech

Data Engineer- Hybrid

Irvine, CA · On-site +1

$80 - $95/hr

Monday through Thursday onsite, Fridays remote. COMPENSATION: $80-95 an hour. This is a 2-year ... Performance Optimization: * Continuously monitor and optimize data pipelines and database ...

Innowhyte Inc

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

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$160K/yr

This position is remote from the USA or Canada. Duties: * Analyze our factor usage data -- how ... optimization modeling as we expand to new sports. * Develop contextualized feature sets that draw ...

New

QuickLaunch Analytics

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 ...

DocuSign

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 ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$160K/yr

This position is remote from the USA or Canada. Duties: * Analyze our factor usage data -- how ... optimization modeling as we expand to new sports. * Develop contextualized feature sets that draw ...

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

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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.
Campaign Manager, SEO (Remote or local to Marina del Rey, CA)

Campaign Manager, SEO (Remote or local to Marina del Rey, CA)

GR0

Los Angeles, CA • On-site, Remote

$75K - $85K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 14 days ago

Job description

THE OPPORTUNITY
 
GR0 is looking for an SEO and communication enthusiast with a track record of delivering bespoke and extraordinary client support. As a Campaign Manager, SEO, you will manage 10-15 accounts and deliver GR0's proven SEO strategies alongside our fast-growing GEO offering, helping clients rank on ChatGPT, Perplexity, Grok, and other LLM platforms.
 
This is not traditional SEO alone. GEO is GR0's biggest focus, and the demand from clients is immediate and enthusiastic. Every month, our clients will see more traffic from LLMs, and you will be on the front lines proving and communicating that ROI. We will train you directly on the tools, tactics, and messaging that drive retention and growth.
 
If you are eager to shape the future of search and be part of a team leading the tidal wave of AI-driven discovery, we encourage you to apply. Open to remote candidates within the United States or local to Los Angeles and willing to commute to the office.
WHAT YOU'LL DO:
  • Serve as the primary contact for 10-15 accounts, maintaining 2 to 3 weekly touchpoints via email, Slack, and video calls.
  • Build and execute SEO and GEO strategies by enabling LLM crawling, creating content pages for LLM indexing, and implementing technical site optimizations such as schema and structured data.
  • Analyze performance using Google Analytics, Google Search Console, Ahrefs, and emerging AI and GEO tracking platforms to be rolled out across all clients.
  • Clearly demonstrate ROI for clients, for example, showing monthly spend can generate measurable revenue.
  • Project manage cross-functional deliverables across Content, Technical SEO, and Analytics to ensure seamless execution.
  • Field and resolve client issues while maintaining trust and delivering a premium customer experience.
  • Onboard new clients into SEO and GEO services with a streamlined, high-touch process.
  • Identify opportunities for upsells in GEO and AI-powered services, working with sales and leadership to expand accounts.
  • Stay on the cutting edge of SEO, GEO, and AI and LLM industry trends, and translate complex updates into actionable client communication.
  • Mentor other Campaign Managers and serve as an escalation point for high-stakes accounts.
  • Partner with leadership on department-wide initiatives including analytics platform adoption, GEO execution scaling, and training programs.
WHAT YOU'LL BRING:
  • A proven track record of exceptional client relationship management in an agency or high-volume digital marketing environment.
  • 1 or more years of SEO or digital marketing experience in a client-facing role.
  • Deep knowledge of SEO best practices, Google ranking algorithms, and emerging LLM and GEO visibility strategies.
  • Experience successfully managing large portfolios of 10-15 accounts with diverse and competing priorities.
  • Strong adherence to process and the ability to help build and scale new operating frameworks.
  • Comfort presenting clear ROI and growth opportunities to clients and internal stakeholders.
WHO YOU ARE:
  • Passionate about SEO, AI, and the future of discovery through LLMs.
  • Energized by serving clients and solving complex problems with creativity and clarity.
  • Excited to learn directly from leadership and contribute to a rapidly scaling offering.
  • Transparent, accountable, and a persuasive communicator.
  • Skilled at balancing multiple client needs while maintaining rigor and attention to detail.
  • Adaptive to change and eager to thrive in a fast-moving, startup-style environment.
What does the hiring process entail?
  • Stage 1 (Recruiter Screen) - After you submit your application, our recruitment team will review and reach out to candidates. During this 30-minute phone call, we'll discuss your career journey and professional motivators while learning about GR0 overall and the position.
  • Stage 2 (Hiring Manager Interview) - The first video interview with the hiring manager will be a 30-minute conversation focused on diving deeper into GR0's SEO and GEO processes, tools, core values, and overall roadmap for scaling our clients.
  • Stage 3 (Co-Founders Connect) - The last conversation of the interview process is always a chance for you to connect with our CEO and Co-Founder, Kevin Miller, and our President and Co-Founder, Jon Zacharias.
  • Stage 4 (Offer) - If a #GR0mance has brewed, we will make you a competitive offer and hope you'll accept!
What's in it for you?
  • Shared Financial Success - GR0 believes strongly in equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total annual compensation for this role is market competitive with a salary range of $75,000-$85,000.
  • Health and Family Benefits - GR0 offers comprehensive medical, dental, and vision coverage options for GR0ers and their families.
  • Wi-Fi Reimbursement - All employees receive a monthly reimbursement to help cover internet expenses while working.
  • Unlimited PTO - We know that rest is vital to your well-being and career success, so we give you the flexibility and trust to take it when you need it.
  • Paid Holidays - Take time to celebrate and rejuvenate with 13 fully paid holidays throughout the year.
  • Community Impact - GR0 is committed to supporting the communities where we work and live by partnering with local charitable organizations to give back in various ways.
Please note: GR0 is currently able to hire in the following states: Arizona, California, Colorado, Florida, Indiana, Iowa, Michigan, Nevada, New Jersey, New York, North Carolina, North Dakota, Oregon, Pennsylvania, Texas, Utah, Virginia, Washington, and Wisconsin. Candidates must be based in one of these states to be considered for this role.
ABOUT US:
 
Headquartered in Los Angeles, California, GR0 is an award-winning digital marketing agency focused exclusively on igniting organic growth for direct-to-consumer and business-to-business startups and established brands. GR0 empowers these brands to build powerful online brands using a highly technical, best-in-class approach that delivers value and experience to consumers, and engagement and sales for brands.
 
 
GR0's notable awards and achievements include: 
 
Glassdoor's "Top CEOs" (2021)
Clutch's "Top 100 Fastest Growing Companies" (2022)
Comparably's "Best Places to Work in Los Angeles" (2021, 2022)
Comparably's "Best Company for Career Growth" (2021)
Built In's Moxie Women in Tech Awards (2021, 2022)
Great Place to Work (2021, 2022, 2023, 2024)
DotComm Awards (2023, 2024)
Power Partner's (2024)
 
At GR0, we put our people above all else. We promote an environment that celebrates diversity, fosters openness, and encourages conversations around what makes us different to further learn from one another. GR0 is proud to be an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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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