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Remote Data Engineering Jobs in California (NOW HIRING)

Innowhyte Inc

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

You'll leverage cloud technologies, automation, and modern data engineering practices to transform ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

Eitacies Inc

Senior Data Engineer

Los Angeles, CA · Remote

$60/hr

AWS Data Engineering (Glue, Lambda, Step Functions) * Data Lake / ELT pipeline experience Education- Bachelors degree in Computer Science / IT or related field This is a remote position.

Bluelight Consulting

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized ... 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

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

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All 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

Data Architect (Remote)

Innowhyte Inc

On-site, Remote

Full-time

Posted 9 days ago

Job description

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.
Key Responsibilities:
• Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
• Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
• Optimize and manage data storage systems and ensure high availability, reliability, and performance.
• Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
• 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 consistency across platforms.
• Provide technical expertise and mentorship to junior engineers and stakeholders.
• Implement best practices in data engineering, including version control, testing, and deployment.
• Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 5+ years of hands-on experience in data engineering or related roles.
• Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
• Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
• Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
• Hands-on technical expertise in designing and implementing end-to-end data solutions.
• Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
• Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
• Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
• Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
• Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
• Work with state-of-the-art technologies in AI, ML, and data engineering.
• Competitive compensation and ample opportunities for career growth.

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