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Remote Data Optimization Jobs in California (NOW HIRING)

Techoundsllc

Data Engineer - REMOTE

Corona, CA · Remote

$118K - $141K/yr

This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

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 ...

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 ...

Vurke Inc

Data Platform Engineer

Union City, CA · Remote

$130K - $156K/yr

Remote, USA Job Type: Full-Time Experience Required: 5 to 8 years Eligibility: Male/Female both can ... Performance optimization * Documentation * Platform reliability * Cross-team collaboration

Akidev Corporation

Data Engineer III

Menlo Park, CA · On-site +1

$134K - $162K/yr

... optimization that comes with it. This is not a pure ETL-with-SQL role; it demands hands-on systems ... Remote Inference Orchestration: Own the systems for remote ML model inference orchestration within ...

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 ...

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

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 ...

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 ...

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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 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 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

Data Engineer - REMOTE

Techoundsllc

Corona, CA • Remote

$118K - $141K/yr

Full-time

Posted 8 days ago

Job description

Must reside in PST time zone!

Job Overview
We are seeking a skilled Data Engineer with 3–5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate will have a strong background in MongoDB, MySQL, and SQL, coupled with experience in AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business initiatives.

Key Responsibilities

· Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze and extract meaningful insights from datasets.

· Create and maintain reporting solutions that support business needs, ensuring clarity and accuracy.

· Collaborate with stakeholders to understand reporting requirements and deliver actionable insights through dashboards or reports.

· Support ad-hoc analysis by providing timely and efficient query solutions to business teams.

· Leverage AWS services, such as RDS and S3, to support data integration and reporting workflows.

· Troubleshoot and resolve data-related issues to ensure smooth operations.

· Create and maintain documentation for data processes, queries, and reporting workflows.

Qualifications

· Experience: 3–5 years of experience as a Data Engineer or similar role with a focus on data analysis and reporting.

· Strong proficiency in MongoDB, MySQL, and SQL for query design and optimization.

· Hands-on experience with AWS RDS and related AWS services.

· Ability to analyze and interpret data to provide actionable insights.

· Experience creating and maintaining reports, dashboards, and visualization tools.

Tools

· Proficiency with Jira for task and workflow management.

Preferred Qualifications

· Experience with Python or similar programming languages for advanced data manipulation.

· Knowledge of Agile methodologies and task tracking tools.

· Familiarity with reporting tools.

· Nice to have: Experience leveraging AI/ML technologies to enhance data analysis, automate workflows, or optimize reporting processes.