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Remote Aws Data Engineer Jobs in California (NOW HIRING)

Simera

Data Engineer (Remote)

San Francisco, CA · Remote

$134.90K - $162K/yr

Data Engineer The Data Engineer is responsible for developing and maintaining data pipelines to ... Experience with cloud-based data platforms (AWS or similar) * Experience working with APIs and ...

EITACIES

Senior Data Engineer

Los Angeles, CA · Remote

$114.20K - $155.20K/yr

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

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.

Techoundsllc

Data Engineer

Irvine, CA · Remote

$123.40K - $148.20K/yr

... AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role ... Remote

AllyNd Partners

Data Engineer

Los Angeles, CA · On-site +1

$123.40K - $148.20K/yr

San Francisco / Austin TX / Remote (U.S. only) About the Role Youll be the founding Data Engineer ... Proficiency in AWS (Glue, S3, Redshift), Snowflake, or BigQuery * Strong SQL and data modeling ...

Cortica

Senior AI Data Engineer

San Diego, CA · On-site +1

$112.50K - $152.90K/yr

Senior AI Data Engineer (Full-time) Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA ... Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft ...

MILLENNIUMSOFT

Senior Data Engineer - Remote

San Diego, CA · Remote

$112.50K - $152.90K/yr

Senior Data Engineer - Remote Location : San Diego, CA Duration : 5 Months Total Hours/week : 40.00 ... Experience implementing and optimizing data pipelines with AWS is a must. * Production delivery ...

Techoundsllc

Data Engineer - Remote

Aliso Viejo, CA · Remote

$121.10K - $145.50K/yr

... Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query ... AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role ...

Cortica

Senior AI Data Engineer

San Diego, CA · On-site +1

$112.50K - $152.90K/yr

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI ... Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft ...

Axelon

Data Engineer, Senior

Oakland, CA · Remote

$80 - $110/hr

Data Engineer, Senior REMOTE 12 Months Open to all US candidates that can work 8 - 5pm PST Pay: $80 ... This role owns the data engineering platform stack-including Snowflake, Informatica, dbt, AWS, 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)

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

Remote Aws Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

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

As of May 28, 2026, the average yearly pay for remote aws data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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

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 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 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 May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 55% In-person, 5% Hybrid, and 40% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Engineer (Remote)

Data Engineer (Remote)

Simera

San Francisco, CA • Remote

$134.90K - $162K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

The Data Engineer is responsible for developing and maintaining data pipelines to support data ingestion, transformation, and integration within a scalable data platform. This role ensures that data from multiple sources is processed efficiently, securely, and with high quality standards.

Responsibilities
  • Develop and maintain data ingestion pipelines from multiple sources
  • Build ETL/ELT processes for data transformation
  • Integrate structured and unstructured data into data platforms
  • Implement incremental and automated data ingestion processes
  • Ensure data quality through validations and monitoring
  • Perform data cleaning and normalization tasks
  • Optimize pipelines for performance and scalability
  • Document data pipelines and data structures
  • Collaborate with cross-functional teams to support data initiatives
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Experience in data engineering or data pipeline development
  • Knowledge of ETL/ELT processes and data integration concepts
  • Experience with cloud-based data platforms (AWS or similar)
  • Experience working with APIs and database integrations
  • Proficiency in SQL and scripting languages (Python or similar)
  • Familiarity with distributed data processing frameworks
Nice to Have
  • Experience with AWS data services
  • Knowledge of infrastructure as code tools
  • Familiarity with data lake architectures
  • Experience with Spark or similar technologies
  • Experience with data pipeline orchestration tools
Soft Skills
  • Analytical thinking
  • Problem-solving skills
  • Collaborative mindset
  • Attention to detail

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