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Amazon Data Engineer Jobs in California (NOW HIRING)

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Position: Sr. Data Engineer (AI + AWS) Location: Irvine/LA, CA (Onsite) Duration: Long term ... Experience with AWS AI services such as Amazon SageMaker, Bedrock, or Amazon OpenSearch is ...

New

IT America

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Position: Sr. Data Engineer (AI + AWS) Location: Irvine/LA, CA (Onsite) Duration: Long term ... Experience with AWS AI services such as Amazon SageMaker, Bedrock, or Amazon OpenSearch is ...

Amazon

Data Engineer II, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

Ring is seeking a Data Engineer with strong analytical, communication, and project management ... These pipelines will be built using both tools available in Native AWS as well as Amazon internal ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Job Location: San Francisco, CA Job Type ... Contract * 7+ years of experience in Amazon Web Services (AWS) Cloud Computing * Strong background ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR ... Prior Software Engineering experience is a big plus. Nice to Haves: * Experience working at an ...

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Daasity, Shopify/Amazon data * Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale)

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Daasity, Shopify/Amazon data * Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale)

Pwc

Data Engineer - Manager

Irvine, CA · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Pwc

Data Engineer - Manager

Sacramento, CA · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Glidewell Dental

Data Engineer II

Irvine, CA · On-site

$105K - $130K/yr

Maintains documentation for data engineer processes and procedures ... Collaborates with team to create proof of concept (POC) using Amazon Web Services (AWS). * Performs ...

Samsung Electronics

Sr. Data Engineer

Mountain View, CA · On-site

$170K - $210K/yr

Position Summary Sr Data Engineer - Samsung Ads About Samsung Ads: Samsung Ads is a fast-growing ... Experience with cloud platforms, particularly Amazon Web Services (AWS) Background in digital ...

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Showing results 1-20

All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in California

Amazon Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do amazon data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for amazon 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 in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What are the most commonly searched types of Amazon Data Engineer jobs in California? The most popular types of Amazon Data Engineer jobs in California are:
What are popular job titles related to Amazon Data Engineer jobs in California? For Amazon Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in California look for? The top searched job categories for Amazon Data Engineer jobs in California are:
What cities in California are hiring for Amazon Data Engineer jobs? Cities in California with the most Amazon Data Engineer job openings:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Sr. Data Engineer (AI + AWS)

Sr. Data Engineer (AI + AWS)

IT America Inc

Irvine, CA • On-site

$122K - $147K/yr

Contractor

Posted 3 days ago

New

Job description

Position: Sr. Data Engineer (AI + AWS)

Location: Irvine/LA, CA  (Onsite)

Duration: Long term contract

Job Summary:

We are seeking a highly skilled Data Engineer with expertise in AI-enabled data platforms, AWS cloud services, Python, PySpark, and Kubernetes to design, develop, and optimize scalable data pipelines and machine learning data infrastructure. The ideal candidate will have experience building cloud-native data solutions, processing large-scale datasets, and supporting AI/ML workloads in AWS environments.

Key Responsibilities:

  • Design, build, and maintain scalable ETL/ELT data pipelines using Python and PySpark.
  • Develop cloud-native data solutions utilizing AWS services such as S3, EMR, Glue, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, and Step Functions.
  • Build and optimize data ingestion frameworks for structured, semi-structured, and streaming data.
  • Collaborate with Data Scientists and AI Engineers to prepare, transform, and deliver high-quality datasets for AI/ML model training and inference.
  • Deploy and manage containerized data applications using Kubernetes (EKS) and Docker.
  • Develop data processing workflows using Spark and optimize performance for large-scale distributed processing.
  • Design data lakes and modern data architectures following AWS best practices.
  • Implement data quality checks, monitoring, logging, and alerting mechanisms.
  • Optimize SQL queries and data models for analytical workloads.
  • Build CI/CD pipelines for automated deployment of data engineering solutions.
  • Ensure data governance, security, compliance, and access controls across cloud environments.
  • Troubleshoot production issues and provide performance tuning for distributed data systems.
  • Work closely with cross-functional teams in Agile/Scrum environments.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
  • 10+ years of Data Engineering experience.
  • Strong programming experience in Python.
  • Hands-on expertise with PySpark and Apache Spark.
  • Strong experience with AWS Cloud services.
  • Experience with Kubernetes (EKS) and Docker.
  • Strong SQL skills and experience with relational databases.
  • Experience building scalable ETL/ELT pipelines.
  • Familiarity with Git and CI/CD practices.
  • Excellent analytical, debugging, and problem-solving skills.

Required Technical Skills:

  • Cloud: AWS (S3, Glue, EMR, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, Step Functions)
  • Programming: Python
  • Big Data: PySpark, Apache Spark
  • Containers: Kubernetes, Docker
  • Databases: PostgreSQL, MySQL, SQL Server, Redshift
  • Data Storage: Data Lake, Data Warehouse
  • Version Control: Git
  • Operating Systems: Linux
  • Methodology: Agile/Scrum

AI/ML Experience:

  • Support AI/ML data pipelines and feature engineering.
  • Prepare datasets for model training and inference.
  • Experience integrating ML workflows into cloud-based data platforms.
  • Familiarity with LLMs, Generative AI, Vector Databases, or Retrieval-Augmented Generation (RAG) is a plus.
  • Experience with AWS AI services such as Amazon SageMaker, Bedrock, or Amazon OpenSearch is preferred.

Preferred Qualifications:

  • Experience with Apache Airflow or AWS Managed Workflows (MWAA).
  • Knowledge of Kafka or Kinesis for streaming data.
  • Experience with Delta Lake, Iceberg, or Apache Hudi.
  • Infrastructure-as-Code experience using Terraform or CloudFormation.
  • AWS certifications (Solutions Architect, Data Engineer, or Machine Learning Specialty) are highly desirable.