ZipRecruiter

Log In

2

Remote Data Engineering Jobs in California (NOW HIRING)

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 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

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 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Ennoble Care

Director of Data Engineering

San Francisco, CA · Remote

$134K - $162K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to ...

Ennoble Care

Director of Data Engineering

San Diego, CA · Remote

$121K - $146K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to ...

Astrana Health

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal ...

Verse

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

United States (remote) What is Verse? The race to AI has become the race to power. Every ... As a technical leader with advanced data engineering expertise, teammates will look to you to vet ...

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. * You are experienced in creating ...

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are in the office 4 days per week with the 5th business day being remote. WHAT SUCCESS LOOKS ... ENGINEERING Design, build, and maintain data pipelines using modern orchestration tools (e.g ...

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are in the office 4 days per week with the 5th business day being remote. WHAT SUCCESS LOOKS ... ENGINEERING Design, build, and maintain data pipelines using modern orchestration tools (e.g ...

next page

Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in California

Remote Data Engineering information

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in California? The most popular types of Data Engineering jobs in California are:
What are popular job titles related to Remote Data Engineering jobs in California? For Remote Data Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in California look for? The top searched job categories for Remote Data Engineering jobs in California are:
What cities in California are hiring for Remote Data Engineering jobs? Cities in California with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in California as of July 2026, with employment types broken down into 72% Full Time, 8% Part Time, 5% Temporary, and 15% Contract. Highlights an 100% Remote job distribution.
Data Engineering Manager

Data Engineering Manager

Spokeo

Pasadena, CA • On-site, Remote

$172K - $206K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 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

Apply