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Remote Amazon Data Engineer Jobs in Irvine, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We go beyond typical data-driven approaches or pure transformer-based architectures, and are ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We go beyond typical data-driven approaches or pure transformer-based architectures, and are ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Corvel

Data Scientist II

Irvine, CA · On-site +1

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... Partner with engineering teams to build and support data pipelines using technologies such as Azure ...

PM2CM

Cost Engineer Hybrid-Remote

Riverside, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

PM2CM

Cost Engineer Hybrid-Remote

Pomona, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

PM2CM

Cost Engineer Hybrid-Remote

Anaheim, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Senior SDET Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles ... Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data ...

Milliman

Strategic Data Partnership Manager

Irvine, CA · Remote

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

59 Pines

Remote Senior Software Engineer

Laguna Beach, CA · Remote

$140K - $190K/yr

Git, APIs, data modeling, testing, and production operations enough to debug what's live * Strong ... Not an engineering manager -- you'll mentor and unblock; you're not hiring, firing, or running the ...

Zorts Sports

Software Engineer

Claremont, CA · Remote

$100K - $125K/yr

Software Engineer Flash Biometrics | Hybrid/Remote - Claremont, CA Salary Range: $100,000-$125,000 ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Irvine, CA

Remote Amazon Data Engineer information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

How much do remote amazon data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote amazon data engineer in Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

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

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

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

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

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

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

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

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

Remote Amazon Data Engineer jobs near you
Infographic showing various Remote Amazon Data Engineer job openings in Irvine, CA as of June 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,236 per year, or $66.9 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 23 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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