1

Temporary Amazon Data Engineer Jobs in California

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

... RDS, Amazon EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data ... services and data engineering methodologies, applying new insights to enhance our data ...

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

Data Engineer II, Creator Services

Culver City, CA · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

Data Engineer II, Creator Services

Culver City, CA · On-site

$125K - $150K/yr

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

Amazon Web Services, Inc. Position: Data Engineer II Location: Cupertino, CA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Data Engineer, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Data Engineer

San Diego, CA · On-site

$129K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon Redshift, Amazon S3) using modern orchestration tools such as Apache Airflow, dbt, or ... in data engineering or a closely related role. Bachelor's Degree in Computer Science or related ...

Data Engineer

Santa Maria, CA · On-site

$70K - $103K/yr

Employ data analytics skills to develop KPIs and provide detailed reports. An ERP engineer also ... Design and develop Amazon Web Services (AWS) dashboards and reports that support the business.

... Amazon Redshift, Amazon S3) using modern orchestration tools such as Apache Airflow, dbt, or ... data engineering or a closely related role. * Bachelor's Degree in Computer Science or related ...

Data Center Project Manager, US-West CPI

Santa Clara, CA · On-site

$142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as ...

Data Engineer - III

San Francisco, CA · On-site

$134K - $162K/yr

... Amazon S3, Apache Spark, Apache Airflow, lakehouse architectures, real-time databases, Redshift, or Snowflake. • Experience designing and supporting traditional ETL and Big Data solutions in on ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Amazon Redshift and AWS Athena Develop and maintain ETL/ELT pipelines using Python Drive data ... Advanced Python programming for data engineering * Strong expertise in data modeling (star ...

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 ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Data engineer /Big Data Location: Redwood City, CA Only Visa Independent Consultants (W2) * 10 or ... Knowledge of cloud ecosystems such as Amazon AWS and Microsoft Azure is a plus * Proven ability to ...

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Data engineer /Big Data Location: Redwood City, CA Only Visa Independent Consultants (W2) * 10 or ... Knowledge of cloud ecosystems such as Amazon AWS and Microsoft Azure is a plus * Proven ability to ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

next page

Showing results 1-20

Temporary Amazon Data Engineer information

What is the difference between Temporary Amazon Data Engineer vs Temporary Google Data Engineer?

AspectTemporary Amazon Data EngineerTemporary Google Data Engineer
Required CredentialsBachelor's in CS, Data Engineering certifications, AWS knowledgeBachelor's in CS, Data Engineering certifications, GCP knowledge
Work EnvironmentAmazon's cloud infrastructure, e-commerce, and logisticsGoogle Cloud Platform, advertising, and tech services
Employer & Industry UsageAmazon, retail, logistics, cloud servicesGoogle, tech, advertising, cloud services
Search & Comparison IntentHigh overlap in cloud data roles, certifications, and industrySimilar roles in cloud data engineering, but with different platform focus

Temporary Amazon Data Engineers and Temporary Google Data Engineers share similar skills, certifications, and work environments focused on cloud data platforms. The main difference lies in the cloud platform expertise—AWS for Amazon and GCP for Google—making each role suited to specific employer ecosystems and industry applications.

What are some common challenges temporary Amazon data engineers face when onboarding to new projects?

Temporary Amazon Data Engineers often encounter challenges such as quickly adapting to existing data infrastructure, understanding proprietary tools and processes, and integrating with teams that may already have established workflows. Since the role is time-limited, it’s crucial to rapidly build relationships with stakeholders and clarify project goals early on. Proactive communication and leveraging available documentation can help overcome these hurdles, ensuring a smoother transition and effective project delivery.

What are the key skills and qualifications needed to thrive as a temporary Amazon data engineer?

To thrive as a Temporary Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with Amazon Web Services (AWS) data tools like Redshift, S3, Glue, and ETL pipelines, as well as relevant certifications like AWS Certified Data Analytics, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating on short-term projects and delivering timely results. These skills and qualifications ensure efficient data solutions, seamless integration with Amazon's platforms, and the ability to meet dynamic business needs in a fast-paced environment.

What does a temporary Amazon data engineer do?

A Temporary Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and systems within Amazon on a short-term or contract basis. They work with large datasets, ensure data quality, and collaborate with other teams to support analytics and business intelligence initiatives. Their role includes tasks such as data extraction, transformation, and loading (ETL), as well as troubleshooting data issues and optimizing data workflows. Although the position is temporary, it often requires strong technical skills in SQL, Python, and cloud services like AWS. The work helps Amazon make data-driven decisions and improve its services.

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 Temporary Amazon Data Engineer jobs in California?

For Temporary Amazon Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Temporary Amazon Data Engineer jobs in California look for?

The top searched job categories for Temporary Amazon Data Engineer jobs in California are:

Infographic showing various Temporary Amazon Data Engineer job openings in California as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

$125K - $151K/yr

Full-time

Posted 8 days ago


Job description

Job Summary:
Info Way Solutions is seeking a Data Engineer with strong Python and AWS experience. The role involves designing and managing data pipelines, optimizing database performance, and collaborating with cross-functional teams to meet data needs.
Responsibilities:
• Design, implement, and manage robust data pipelines using Python, PySpark, SQL to efficiently extract, transform, and load data from diverse sources(Batch & Streaming)
• Demonstrate expertise in core AWS services such as AWS DMS, AWS Glue, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, Amazon EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data solutions.
• Develop and maintain efficient data models to support the analytical and reporting needs.
• Administer databases using AWS services like Amazon RDS or Amazon Redshift, focusing on schema design, performance optimization, and monitoring.
• Utilize Amazon Redshift or Amazon Snowflake to create high-performing analytical databases that empower data-driven decision-making.
• Implement industry best practices for ETL processes, including data validation, error handling, and data quality checks.
• Optimize query performance through continuous tuning of databases and leveraging AWS's scalability capabilities.
• Establish robust monitoring and logging mechanisms using AWS CloudWatch, Amazon CloudTrail, or comparable tools to ensure pipeline reliability.
• Ensure adherence to security best practices and relevant compliance standards, tailoring solutions to meet GDPR, HIPAA, or other regulatory requirements.
• Drive automation of deployment and scaling of data pipelines using infrastructure as code (IaC) tools like AWS CloudFormation and Terraform.
• Collaborate closely with cross-functional teams, including data scientists, analysts, and other stakeholders, to understand their data needs and provide effective solutions.
• Stay updated on the latest developments in AWS services and data engineering methodologies, applying new insights to enhance our data infrastructure.
• Exhibit strong communication skills to facilitate effective teamwork and interaction with diverse groups.
Qualifications:
Required:
• Strong Hands-on experience in Python and AWS
• Experience in designing, implementing, and managing data pipelines using Python, PySpark, SQL
• Expertise in core AWS services such as AWS DMS, AWS Glue, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, Amazon EMR, AWS IAM, AWS LAMBDA
• Ability to develop and maintain efficient data models
• Experience in administering databases using AWS services like Amazon RDS or Amazon Redshift
• Utilization of Amazon Redshift or Amazon Snowflake for creating analytical databases
• Implementation of industry best practices for ETL processes, including data validation, error handling, and data quality checks
• Optimization of query performance through continuous tuning of databases
• Establishment of monitoring and logging mechanisms using AWS CloudWatch, Amazon CloudTrail, or comparable tools
• Ensuring adherence to security best practices and relevant compliance standards
• Driving automation of deployment and scaling of data pipelines using infrastructure as code (IaC) tools like AWS CloudFormation and Terraform
• Collaboration with cross-functional teams, including data scientists, analysts, and other stakeholders
• Staying updated on the latest developments in AWS services and data engineering methodologies
• Exhibiting strong communication skills
Preferred:
• Experience with GDPR, HIPAA, or other regulatory requirements
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.