ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Orange, CA (NOW HIRING)

Generac

Sales Engineer - Data Centers

Los Angeles, CA · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

YO AI Labs

AI Data Scientist Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

New

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

New

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Orange, CA

Remote Data Engineer information

See Orange, CA salary details

$47.5K

$138.6K

$189.6K

How much do remote data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data engineer in Orange, CA is $138,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $146,900.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Orange, CA?

The most popular types of Data Engineer jobs in Orange, CA are:

What are popular job titles related to Remote Data Engineer jobs in Orange, CA?

For Remote Data Engineer jobs in Orange, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Orange, CA look for?

The top searched job categories for Remote Data Engineer jobs in Orange, CA are:

What cities near Orange, CA are hiring for Remote Data Engineer jobs?

Cities near Orange, CA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Orange, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,571 per year, or $66.6 per hour.

Director, Data Engineering & Architecture (Remote)

Ceribell, Inc

Los Angeles, CA • On-site, Remote

$210K - $272K/yr

Full-time

Re-posted 9 days ago

Job description

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The Director of Data Architecture & Engineering will play a central role in ensuring Ceribell's systems and data architecture support the organization's strategic objectives by shaping and managing our technological and data infrastructure. This role bears the primary responsibility for facilitating communication and execution across Commercial, Engineering, Financial, Infrastructure, and Security teams, ensuring that our systems drive organizational efficiency, effectiveness, and flexibility. This role will translate ideas and early-stage prototypes from business stakeholders into robust, scalable, and maintainable internal tools, ensuring each one fits cohesively within our broader enterprise architecture. It requires exceptional leadership, communication, project management, and collaboration skills, as well as the proven ability to influence diverse stakeholders, navigate cross-functional matrices, and drive consensus quickly.

What you'll do:

  • Develop and execute the enterprise architecture strategy, ensuring it supports overall business objectives and long-term vision.
  • Provide leadership in defining and designing the architecture for systems, applications, data, AI, and technology infrastructure, with an emphasis on reuse and coherence across tools.
  • Collaborate with business leaders and executive team to ensure technology solutions align with business needs and goals.
  • Establish and document architectural standards, guidelines, best practices, and processes across the organization.
  • Create and maintain architectural roadmaps that outline the future state of technology to meet business priorities.
  • Identify and evaluate AI tools, emerging technologies, and modern data platforms for integration into internal workflows.
  • Own and evolve Ceribell's data architecture, including stewardship of the data warehouses and data pipelines that bring together information from across the business.
  • Build, mentor, and develop a high-performing enterprise architecture team.
  • Select and manage relationships with external vendors and third parties involved in delivering architecture solutions.
  • Partner with business stakeholders to understand their needs and translate ideas and prototypes into production-grade internal applications.
  • Other responsibilities as assigned by your Manager/Supervisor

What We're Looking For:

  • 10+ years of experience in IT architecture or software engineering, with at least 5 years in a leadership role.
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field preferred; will accept any suitable combination of education, experience, and training.
  • Strong knowledge of AI/ML, data platforms, cloud-native technologies, software engineering tools, and distributed system design to deliver measurable business impact.
  • Experience transforming tech landscapes with multiple SaaS, custom, and enterprise business applications with a focus on reuse, simplification, and cost efficiency.
  • Strong understanding of data architecture, data quality, data governance, data privacy, and analytics/reporting, including pipeline design and systematic data quality practices.
  • Exceptional leadership, strategic thinking, and communication skills to articulate complex technical concepts to diverse audiences.
  • Ability to understand business objectives and processes and translate them into effective technology strategies.
  • Experience in developing long-term technology roadmaps and financial plans for technology investments.
  • Prior experience as a developer or architect in enterprise data systems such as Snowflake, Salesforce, or NetSuite preferred.

Compensation:

San Francisco Bay Area, Los Angeles, and New York City Metropolitan Locations: $210K - $272K
All other National Locations: $210K - $239K

Compensation Range
$210,000—$272,000 USD

A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

  • Performance-based incentive compensation (varies by role)
  • Equity opportunities
  • 100% Employer paid Health Benefits for Employees
  • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
  • 100% paid Life and Long-Term Disability Insurance
  • 401(k) with a generous company match
  • Employee Stock Purchase Plan (ESPP) with a discount
  • Monthly cell phone stipend
  • Flexible paid time off
  • 13 Paid Holidays + 3 Company Wellness Days
  • Excellent parental leave policy
  • Fantastic culture with tremendous career advancement opportunities
  • Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details
Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer
Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement
For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer
If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.