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Remote Data Management Jobs in California (NOW HIRING)

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... A Bachelor's degree in Computer Science, Information Management, or a related field * Attention to ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... A Bachelor's degree in Computer Science, Information Management, or a related field * Attention to ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Lead the design and management of an enterprise data model that integrates complex domains ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Corvel

Data Science Manager

Irvine, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... management. This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products

Dexcom, Inc.

Manager Data Science

San Diego, CA · On-site +1

As part of the Data Science and Engineering team, this role combines strategic leadership ... management or lead experience Remote Workplace: Your location will be a home office; you are not ...

Farmers Insurance

Lead Data Scientist

Woodland Hills, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... Must have 2 years of experience with each of the following: working with database management ...

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All JobsData Management JobsRemote Data Management JobsRemote Data Management Jobs in California

Remote Data Management information

See California salary details

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How much do remote data management jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data management in California is $40.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $56.49 per hour, depending on experience, location, and employer.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

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

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

More about Remote Data Management jobs

What are the most commonly searched types of Data Management jobs in California?

The most popular types of Data Management jobs in California are:

What are popular job titles related to Remote Data Management jobs in California?

For Remote Data Management jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Management jobs in California look for?

The top searched job categories for Remote Data Management jobs in California are:

What cities in California are hiring for Remote Data Management jobs?

Cities in California with the most Remote Data Management job openings:

Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in California as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,540 per year, or $40.2 per hour.

Data Engineering Manager

Spokeo

Pasadena, CA • On-site, Remote

$172K - $206K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

About Spokeo:
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What you'll do:
  • Lead and manage data engineers to build data solutions for our business intelligence needs
  • Lead a cross-functional team in building a state-of-the-art data analytics platform
  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
  • Define and manage SLA's for all data sets and reporting processes
  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you've done:
  • 7+ years of experience in Business Intelligence and Data Warehousing
  • 5+ years of experience with cloud solutions (AWS, Azure)
  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
  • 5+ years of experience with data pipelines orchestration tools like Airflow.
  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
  • Expertise in RDBMS, SQL, query optimization, and security
  • A Bachelor's degree in Computer Science, Information Management, or a related field
  • Attention to detail, excellent problem-solving ability, and strong communication skills

Working at Spokeo
Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
  • annual bonus program
  • stock options
  • 401K matching
  • 100% medical/dental/vision coverage
  • unlimited PTO
  • mental health resources
  • paid home office equipment
  • fitness reimbursements
  • support paying for courses
  • and more

Hiring at Spokeo
We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
Use of Artificial Intelligence in Our Hiring Process
Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review.
AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.
#LI-Remote
Department Data Role Data Engineering Manager Locations Remote, United States Remote status Fully Remote Yearly salary $172,800 - $206,100

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