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Temporary Amazon Data Engineer Jobs in California

Info Way Solutions

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

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 ...

Info Way Solutions

Data engineer with python

Fremont, CA · On-site

$125K - $151K/yr

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

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

The Senior Data Engineer will bring deep expertise in Amazon Web Services (AWS), large-scale distributed data processing, data lake and warehouse architecture, and production software engineering ...

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

The Senior Data Engineer will bring deep expertise in Amazon Web Services (AWS), large-scale distributed data processing, data lake and warehouse architecture, and production software engineering ...

Amazon

Data Engineer, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

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 ...

Safran Cabin

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.

SGS Consulting

AWS Cloud Data Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

Utilize Amazon Bedrock and enterprise LLMs for intelligent automation. * Leverage AI-assisted ... Cloud Data Engineering & AWS (5+ Years) * 5+ years of hands-on experience designing and ...

Brevian.ai

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 ...

Perficientcorp Inc

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 ...

Simarn Solutions, LLC

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 ...

BREVIAN

Data Engineer

Sunnyvale, CA · On-site

$133K - $160K/yr

They are seeking an experienced Data Engineer to develop scalable data systems and integrate cloud ... Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch. • ...

Simarn Solutions, LLC

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 ...

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 ...

Eleven Recruiting

Data Engineer II

Long Beach, CA · On-site

$125K - $150K/yr

... Amazon Redshift. • Experience with dbt for data transformation and modeling. • Knowledge of workflow orchestration tools like Argo or alternatives (Airflow, Prefect, Dagster). • Strong ...

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All JobsAmazon Data Engineer JobsTemporary Amazon Data Engineer JobsTemporary Amazon Data Engineer Jobs in California

Temporary Amazon Data Engineer information

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 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 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 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 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:

What cities in California are hiring for Temporary Amazon Data Engineer jobs?

Cities in California with the most Temporary Amazon Data Engineer job openings:

Temporary Amazon Data Engineer jobs near you
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.

Principal Data Engineer - AWS

Metis Technology Solutions Inc

Mountain View, CA • On-site

$140K - $200K/yr

Full-time

Posted 4 days ago

Job description

POSITION SUMMARY: 

Metis Technology Solutions is seeking an experienced Principal Data Engineer – AWS to join our Software Operations team. This engineer will work closely with software developers, researchers, analysts, database engineers, and system administrators to design, develop, deploy, and operate the data infrastructure and pipelines connecting research platforms, external data sources, cloud-based services, and the project's Sherlock data warehouse. 


This position:

  • Architects, designs, develops, deploys, and maintains scalable and reliable ETL/ELT data pipelines in Amazon Web Services (AWS).
  • Designs automated ingestion and processing solutions for structured, semi-structured, unstructured, batch, and streaming data.
  • Develops production-quality data-processing and pipeline software using Python, SQL, and shell scripting.
  • Designs and maintain workflow orchestration solutions using technologies such as Apache Airflow, Dagster, AWS Step Functions, or equivalent platforms.
  • Designs and implements real-time and near-real-time streaming and event-driven data pipelines using technologies such as AWS Kinesis, Amazon Data Firehose, Kafka, RabbitMQ, SQS/SNS, or equivalent technologies.
  • Develops and maintains cloud data solutions using AWS services such as Amazon S3, AWS Lambda, Amazon Redshift, Amazon RDS, Amazon DynamoDB, Amazon EC2, API Gateway, IAM, and CloudWatch, as appropriate to project requirements.
  • Administers and optimizes relational databases and cloud data warehouses, including PostgreSQL/PostGIS and Amazon Redshift or comparable technologies.
  • Develops and maintains infrastructure as code (IaC) using Terraform or equivalent technologies.
  • Develops and maintains automated deployment and CI/CD processes for data applications and supporting infrastructure.
  • Designs pipelines and supporting infrastructure for reliability, scalability, maintainability, observability, security, and efficient use of AWS resources.
  • Implements appropriate AWS security practices, including IAM roles and policies, encryption, secrets management, network controls, logging, and least-privilege access.
  • Develops monitoring, logging, metrics, and alerting that provide operational visibility into data-pipeline health and performance.
  • Documents data architectures, data flows, interfaces, infrastructure, deployment processes, operational procedures, and troubleshooting practices.
  • Collaborates with researchers, analysts, and application developers to translate research and application requirements into reliable and maintainable data-processing solutions.


MINIMUM QUALIFICATIONS:

 

Education: 

Bachelor’s degree or higher in computer science, computer engineering, information systems, or a related technical discipline.



Required Skills and knowledge:


  • Minimum 10 years of progressively responsible software engineering, data engineering, database engineering, or closely related technical experience.
  • Minimum 5 years of substantial hands-on AWS experience, including the design, implementation, deployment, and operation of production data-processing or data-pipeline solutions.
  • Demonstrated experience architecting and developing ETL/ELT pipelines involving large, heterogeneous, or rapidly changing datasets.
  • Strong hands-on experience with AWS data and compute services. Relevant technologies may include S3, Lambda, Redshift, RDS, DynamoDB, Kinesis, Data Firehose, EC2, API Gateway, IAM, and CloudWatch.
  • Advanced SQL skills and substantial experience working with relational database systems, preferably PostgreSQL/PostGIS.
  • Demonstrated experience with cloud data warehouses such as Amazon Redshift or comparable technologies.
  • Experience with NoSQL databases or document/key-value data stores such as DynamoDB, MongoDB, or comparable technologies.
  • Demonstrated experience with data-pipeline and workflow orchestration using Apache Airflow, Dagster, AWS Step Functions, or comparable technologies.
  • Experience designing or implementing streaming, message-oriented, or event-driven data-processing systems using technologies such as Kinesis, Data Firehose, Kafka, RabbitMQ, SQS/SNS, or comparable technologies.
  • Demonstrated experience diagnosing and correcting database and data-pipeline performance problems.
  • Hands-on experience with infrastructure as code, preferably Terraform or an equivalent technology.
  • Working knowledge of AWS security concepts including IAM, encryption, secrets management, network security, logging, and least-privilege access.
  • Strong understanding of modern software-engineering practices, including modular design, automated testing, version control, documentation, security, and maintainable code.
  • Strong analytical and troubleshooting skills and demonstrated ability to diagnose complex problems spanning applications, databases, data pipelines, and cloud infrastructure.
  • Proven ability to evaluate technical alternatives, make sound architectural decisions, and communicate the rationale and tradeoffs associated with those decisions.
  • Excellent written and verbal communication skills and demonstrated ability to collaborate effectively with software engineers, researchers, analysts, system administrators, and other technical stakeholders.


LOCATION SPECIFIC REQUIRMENTS: NASA Ames Research Center, Moffett Field CA


SECURITY CLEARANCE: Applicant must be eligible to obtain a U.S. Government Public Trust Clearance. Must be a U.S. Citizen or Permanent Resident.


EEOE Including Vets and Disability