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Senior Aws Data Engineer Jobs in Riverside, CA (NOW HIRING)

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 contract Job Summary: We are seeking a highly skilled Data Engineer with expertise in AI-enabled data ...

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

Sr AWS cloud Engineer

Irvine, CA · On-site

$112K - $154K/yr

Job Title: Sr AWS cloud Engineer Duration: 12+ Months Location: Irvine, CA (Hybrid) Need 15+ Expirenced candidates only Key Responsibilities · Design and operate scalable, highly available, multi ...

Sr. AWS Cloud Engineer

Irvine, CA · On-site

$59.25 - $79/hr

ClifyX is a company seeking a Senior AWS Cloud Engineer to implement AWS infrastructure for migration waves and support various cloud services. The role involves deploying and configuring EC2, EKS ...

Design, develop, deploy, and support AWS-based applications using Python and Java. * Implement solutions using AWS services such as Lambda, API Gateway, RDS, Athena, Glue, S3, and CloudFront.

Lead Data Engineer

Tustin, CA · On-site

$180K - $190K/yr

The ideal candidate will possess deep expertise in Databricks, dbt, Airflow, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations , along with a strong background ...

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Senior Aws Data Engineer information

See Riverside, CA salary details

$84.5K

$131.8K

$182.6K

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

As of Aug 31, 2026, the average yearly pay for senior aws data engineer in Riverside, CA is $131,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $150,200.00 per year, depending on experience, location, and employer.

What does a Senior AWS Data Engineer do?

A Senior AWS Data Engineer is responsible for designing, developing, and maintaining large-scale data processing systems on Amazon Web Services (AWS). They build data pipelines, manage data storage solutions, and ensure data quality, security, and scalability. These professionals often work closely with data scientists, analysts, and other engineers to support data-driven decision-making within an organization. Their expertise includes tools like AWS Glue, Redshift, S3, and Lambda, as well as programming languages such as Python or Scala.

How does a Senior AWS Data Engineer typically collaborate with cross-functional teams in large-scale projects?

As a Senior AWS Data Engineer, you will regularly collaborate with data scientists, analysts, software engineers, and product managers to design and implement scalable data solutions. You are often responsible for gathering requirements, translating business needs into technical specifications, and ensuring data pipelines meet both performance and compliance standards. Effective communication and proactive problem-solving are key, as you'll be expected to guide junior engineers, participate in architecture discussions, and coordinate releases or updates to data infrastructure.

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

To thrive as a Senior AWS Data Engineer, you need advanced expertise in data engineering, cloud architecture, and programming languages like Python or Scala, typically supported by a bachelor’s degree in computer science or a related field. Proficiency with AWS services such as Redshift, Glue, Lambda, S3, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are crucial for designing scalable data solutions, ensuring data integrity, and enabling efficient analytics in cloud environments.

What is the difference between Senior Aws Data Engineer vs Data Engineer?

AspectSenior Aws Data EngineerData Engineer
Required CredentialsAWS certifications, SQL, Python, SparkSQL, Python, ETL tools, basic AWS knowledge
Work EnvironmentCloud-based data pipelines, AWS servicesOn-premises or cloud data environments
Employer & Industry UsageTech, finance, healthcare using AWSVarious industries, including startups and enterprises
Common Search & ComparisonOften compared for experience level and AWS expertiseEntry to mid-level data roles

The main difference between a Senior Aws Data Engineer and a Data Engineer lies in experience, AWS-specific skills, and responsibilities. Senior Aws Data Engineers typically have advanced AWS certifications and focus on designing and managing cloud-based data solutions, whereas Data Engineers may work with a broader range of tools and environments. Both roles are essential in data-driven organizations, but the senior role involves more strategic planning and cloud architecture expertise.

What cities near Riverside, CA are hiring for Senior Aws Data Engineer jobs?

Cities near Riverside, CA with the most Senior Aws Data Engineer job openings:

Sr. AWS Developer / Engineer

Irvine, CA • On-site

Staffingine LLC
Recruiting and Staffing Services • 51 - 200 employees

Contractor

Re-posted 10 days ago


Job description

Job Title: Sr. AWS Developer / Engineer
Job Location: Irvine, CA
Job Type: Contract

Job Description:

  • API Migration & Development
  • Analyze existing Mulesoft APIs and design equivalent solutions using AWS API Gateway, Lambda, and other AWS-native services.
  • Develop and maintain scalable, secure, and reusable APIs using AWS and microservices architecture.
  • Implement API-first strategies and adopt design-first approaches for new integrations
  • Integration & Architecture
  • Collaborate with cross-functional teams to define integration patterns and architecture for cloud migration.
  • Translate legacy integration logic (e.g., webMethods, BizTalk) into AWS-native services
  • Support hybrid integration scenarios involving on-premise and cloud systems.

Required Skills

  • 5+ years of experience in full-stack or integration development.
  • Strong expertise in AWS services: Lambda, API Gateway, EC2, S3, RDS, CloudFormation.
  • Proficiency in Mulesoft Anypoint Platform, including DataWeave and MUnit testing
  • Experience with Java, Node.js, React/Angular, and PostgreSQL.
  • Familiarity with Docker, Kubernetes, and event-driven architecture (Kafka, Airflow).
  • Knowledge of AWS migration frameworks and best practices

     Preferred Qualifications

  • AWS and Mulesoft certifications.
  • Experience in legacy modernization and cloud transformation projects.
  • Exposure to tools like Glue, Aurora Serverless, and PySpark for data migration.

    DevOps & CI/CD

  • Set up CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy.
  • Manage infrastructure using Terraform or AWS CloudFormation.
  • Monitor and optimize application performance using AWS CloudWatch
  • Documentation & Support
  • Create technical documentation for design, implementation, and migration strategies.
  • Provide post-migration support and troubleshooting.