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Temporary Amazon Data Engineer Jobs in California

INFOTRON

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Senior Data Engineer Location: Berkeley, CA (Onsite - 5 Days/Week) Employment Type: Contract ... or Amazon QuickSight is an advantage. What We're Looking For * Strong analytical and problem ...

iSpace, Inc

AWS Senior Data Engineer

Torrance, CA · On-site

$108K - $147K/yr

We are looking for a Senior AWS Data Engineer to design, develop, optimize, and support enterprise ... Amazon Kiro / Agentic AI experience is a plus Important: Candidates must be able to work onsite in ...

Socket.dev

Data Engineer II

Aliso Viejo, CA · On-site

$150 - $225/hr

Data Engineer II Aliso Viejo, CA The Data Engineering Team fuels real-time, intelligent data ... Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch ...

New

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 ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$79K - $87K/yr

Senior Data Engineer (Cloud Data Platforms) Role Overview We are seeking a skilled and driven Data ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Calance US

Be Seen First

Sr. AWS Data Engineer

Torrance, CA

$77.75/hr

Agentic AI experience with Amazon Kiro ===== ===== Calance Consultant Benefits Offerings: * EPO/PPO Medical Plans * HMO/PPO Dental programs * Vision - VSP (Vision Plan Summary) * 401K Retirement ...

New

PlayStation Global

Data Engineer II

Aliso Viejo, CA · On-site

$150K - $225K/yr

Data Engineer II Aliso Viejo, CA The Data Engineering Team fuels real-time, intelligent data ... Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch ...

Deloitte

Sr Databricks Data Engineer

San Diego, CA

$121K - $146K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Deloitte

Sr Databricks Data Engineer

San Jose, CA

$134K - $161K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Deloitte

Sr Databricks Data Engineer

San Francisco, CA

$134K - $162K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA

$122K - $147K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA

$122K - $146K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Deloitte

Sr Databricks Data Engineer

Los Angeles, CA

$123K - $148K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Apple

Sr. Data Engineer, iCloud

Cupertino, CA · On-site

$141K - $169K/yr

Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured ... Amazon AWS, Google Cloud Experience with building stream-processing applications using Apache Flink ...

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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.

Senior Data Engineer

INFOTRON

Berkeley, CA • On-site

$90K - $100K/yr

Full-time

Re-posted 15 days ago

Job description

Job Title: Senior Data Engineer
Location: Berkeley, CA (Onsite – 5 Days/Week)
Employment Type: Contract/Full-Time
About the Role
We are seeking a Senior Data Engineer to join an innovative company in the industrial technology space. This is an opportunity to own and evolve a production data platform that powers operational insights, reporting, and engineering decision-making.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines that support production and engineering operations.
  • Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data.
  • Collaborate with software, controls, and test engineering teams to deliver high-quality datasets for analytics and reporting.
  • Establish and maintain engineering best practices, including version control, CI/CD, automated testing, documentation, and code reviews.
  • Support and enhance cloud-based and on-premise data infrastructure.
  • Evaluate technologies and recommend scalable architectural improvements for the data platform.
  • Monitor production data workflows and troubleshoot performance or reliability issues.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (Master's degree preferred).
  • 6+ years of hands-on experience building and supporting enterprise data platforms in production environments.
  • Strong expertise in:
  • Python
  • SQL
  • PostgreSQL
  • AWS (S3, RDS, IAM, VPC)
  • Apache Airflow
  • dbt
  • Docker
  • Git and CI/CD
  • Proven experience developing and maintaining production ETL/ELT pipelines.
  • Strong understanding of data modeling, query optimization, and engineering best practices.

Preferred Qualifications
Experience in one or more of the following industries:
  • Manufacturing
  • Industrial Automation
  • Robotics
  • Automotive
  • Aerospace
  • Semiconductor
  • Energy or Clean Technology
Experience working with:
  • Ignition
  • SCADA or Industrial Control Systems
  • Industrial Historian platforms
  • OPC UA
  • DAQ systems
  • Sensor, telemetry, or time-series data
Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage.
What We're Looking For
  • Strong analytical and problem-solving skills.
  • Ability to make sound technical decisions and take ownership of complex data initiatives.
  • Comfortable working in a fast-paced, collaborative engineering environment.
  • Excellent communication skills with the ability to work across multiple technical teams.