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Weekend Amazon Data Engineer Jobs in Riverside, CA

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 ...

Judge Group, Inc.

Lead Data Engineer

Tustin, CA · On-site

$180K - $190K/yr

Lead Data Engineer (EDO Platform Engineering Lead) Location: Irvine, CA Salary: $180,000-$190,000 ... Amazon S3 * ECS * EKS * AWS Lambda * AWS Glue * CloudWatch * Design highly available and secure ...

FieldAI

Software Engineer, Data Engineering

Irvine, CA

$122K - $147K/yr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Software Engineer, Data Engineering

Irvine, CA · On-site

$115K - $170K/yr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

Ring Inc

Software Engineer, Data Engineering

Irvine, CA · On-site

$115 - $170/hr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Software Engineer, Data Engineering

Irvine, CA

$115K - $170K/yr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Product QA & Data Engineer

Irvine, CA

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

FieldAI

Product QA & Data Engineer

Irvine, CA

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

Amazon

Data Center Technician, LAX - DCO

Irvine, CA · On-site

Amazon Web Services (AWS) is a fast-paced technology company and a leader in the world of data ... require evening, weekend, holiday, and/or night work to ensure our global data centers are ...

Amazon

Data Center Technician, LAX - DCO

Irvine, CA · On-site

Primary responder responsibilities may require evening, weekend, holiday, and/or night work to ... engineering, etc.) Amazon is an equal opportunity employer and does not discriminate on the basis ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Riverside, CA

Weekend Amazon Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

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

As of Aug 30, 2026, the average yearly pay for weekend amazon data engineer in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

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

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What cities near Riverside, CA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Riverside, CA with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Sr. Data Engineer (AI + AWS)

Irvine, CA • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

$122K - $147K/yr

Contractor

Re-posted 15 days ago

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.