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Remote Aws Data Engineer Jobs in California (NOW HIRING)

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... and AWS developer tools. * Experience with DynamoDB, EC2, ECS and Batch. * Exposure to data ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred)

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions. * Work ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... Build streaming data pipelines using Kafka and AWS services to enable real-time data processing and ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Implement robust monitoring, logging, and costmanagement practices for AWS data and AI services to ... Employee divides their time between in-office and remote work. Access to an office location is ...

Apex Informatics

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and ... Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

... AWS), container orchestration (Docker, Kubernetes), and IaC (Terraform, CloudFormation) * 3+ years architecting ML workflows and data platforms with CI/CD, automated testing, and distributed ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

... AWS), container orchestration (Docker, Kubernetes), and IaC (Terraform, CloudFormation) * 3+ years architecting ML workflows and data platforms with CI/CD, automated testing, and distributed ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Pattern AI

Senior Data Engineer

San Mateo, CA · On-site +1

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Experience with Docker, Git and AWS (EC2, ECS, S3, Step Functions, and Athena). * Analytics and ...

Wells Fargo

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

... AWS, Azure) * 4+ years of hands on experience of Python and/or Go for building data pipelines ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

New

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

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All JobsAws Data Engineer JobsRemote Aws Data Engineer JobsRemote Aws Data Engineer Jobs in California

Remote Aws Data Engineer information

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What are the key skills and qualifications needed to thrive as a remote AWS data engineer?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

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

The most popular types of Aws Data Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Aws Data Engineer jobs?

Cities in California with the most Remote Aws Data Engineer job openings:

Remote Aws Data Engineer jobs near you
Infographic showing various Remote Aws Data Engineer job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.

Senior AWS Data Engineer

Sequoia Connect

Mountain View, CA • On-site, Remote

$125K - $169K/yr

Full-time

Posted 10 days ago

Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Senior AWS Data Engineer:
The Challenge (Responsibilities)
  • Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
  • Develop and manage workflows using Glue, Lambda, and Step Functions.
  • Build event-driven integrations using SNS, SQS, and related AWS services.
  • Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
  • Write and tune high-performance SQL for complex transformations and reporting.
  • Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
  • Design and Support API-based and JSON-based integrations across internal and external systems.
  • Troubleshoot operational issues, identify root causes, and implement corrective actions.
  • Contribute to documentation, deployment automation, and engineering best practices.
  • Collaborate with stakeholders and mentor junior team members where needed.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • N/A

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real time systems
  • Good understanding on Agents and MCP

Apply