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Hourly Aws Data Engineer Jobs in California (NOW HIRING)

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Location: San Francisco and jersey city ( 3 days onsite 2 days remote) look for nearby Candidates only ( Only w2 Required) Must Have Skills : Spark, AWS, data lake, data pipelining ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

AWS Data Engineer Work Location: Alameda CA Duration: Contract to hire or FTE Experience: 10 to max 20 Mandatory - need summary on pharma and commercial exp Educational Qualification* BE / MCA / Any ...

AWS Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

* We are seeking a highly skilled Senior AWS Data Engineer with 9+ years of overall experience in designing, developing, and optimizing enterprise-scale data platforms. The ideal candidate will have ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US) Mode: Hybrid(3 day a week onsite) Employment type: Contract Role Summary We are seeking a highly skilled AWS Data ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Job Location: San Francisco, CA Job Type: Contract * 7+ years of experience in Amazon Web Services (AWS) Cloud Computing * Strong background in designing, developing, and ...

AWS Data Engineer Lead

Alameda, CA · On-site

$132K - $159K/yr

Syntricate Technologies is seeking a highly experienced Senior AWS Data Engineer Lead to join their team. The ideal candidate will be responsible for designing, building, and maintaining scalable ...

AWS Data Engineers

San Jose, CA · On-site

$134K - $161K/yr

Overview: AWS Data Engineers Location- San Jose /Costa Mesa CA Experience- 3-6 Years * 4-6 years of work experience - hands on and good coding skills, preferably with Java, Scala or Python * Data ...

AWS Data Architect

Torrance, CA · On-site

$67.50 - $88.75/hr

AWS Data Architect Location: Torrance CA 4 days onsite Duration: Long Term Seeking an AWS data ... junior data engineers and architects Collaborate with stakeholders to define data strategy ...

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

We are currently searching for a Senior AWS Data Engineer: The Challenge (Responsibilities) * Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.

AWS Data Architect

California City, CA · On-site

$78.25 - $100.50/hr

AWS Data Architect Location: Alameda, CA Experience Range 15 Years Primary (Must have skills)* - To ... Data Engineering & Analytics, including end-to-end data solution design, architecture, and ...

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 data pipelines and data integration solutions. Required Skills: * 5+ years of Data Engineering, ETL, ...

AWS Data Architect

Alameda, CA · On-site

$72.25 - $93/hr

Mentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworks; Continuously evaluate emerging technologies, BI trends, and AWS innovations ...

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Role: AWS Data Architect Location : Toorance CA Onsite Duration: Long Term Developing CDM ... Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and ...

Senior AWS Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

Core Tech Stack Design and scale production-grade ETL/ELT pipelines using AWS Glue , Databricks ... Experience Level 9 + years of hands-on data engineering experience driving high-impact initiatives.

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Data Engineering Skills: Experience with ETL/ELT processes, data cleansing, data transformation ... AWS certifications related to data analytics and architecture. Thanks Ramesh

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Data Engineering Skills: Experience with ETL/ELT processes, data cleansing, data transformation ... AWS certifications related to data analytics and architecture. Thanks Ramesh

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

AWS * Data Architecture * Reporting & Data Visualization * AI/ML Exposure * ThoughtSpot * DataRobot * Excel * Numbers * Quip * Keynote * Miro * Slack * Project & Stakeholder Management Candidates ...

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Hourly Aws Data Engineer information

What is an hourly AWS Data Engineer?

An hourly AWS Data Engineer is a professional who specializes in designing, building, and managing data infrastructure and pipelines on Amazon Web Services (AWS), and is compensated based on the number of hours worked rather than a fixed salary. Their responsibilities often include integrating data from various sources, optimizing data storage and retrieval, ensuring data security, and supporting analytics and machine learning workflows. This role requires proficiency in AWS services such as S3, Redshift, Glue, and Lambda, as well as knowledge of programming languages like Python or SQL. Hourly AWS Data Engineers are commonly hired for project-based or short-term needs, offering flexibility to both employers and workers.

What are the key skills and qualifications needed to thrive as an hourly AWS Data Engineer?

To excel as an Hourly AWS Data Engineer, you need expertise in data engineering concepts, strong SQL skills, and a solid understanding of AWS services such as S3, Redshift, and Glue, typically supported by a degree in computer science or a related field. Familiarity with tools like AWS Lambda, ETL frameworks, and certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect are highly valuable. Strong problem-solving abilities, clear communication, and the ability to collaborate remotely make candidates stand out. These skills and qualities are crucial to efficiently build, maintain, and optimize scalable data solutions in cloud-based environments.

What are some common challenges faced by hourly AWS Data Engineers, and how can they be effectively addressed?

Hourly AWS Data Engineers often encounter challenges such as quickly adapting to new projects with varying data architectures, managing data security across different AWS services, and integrating multiple data sources efficiently within tight deadlines. To address these, it's crucial to stay up-to-date with AWS best practices, maintain clear documentation, and build strong communication channels with team members and stakeholders. Leveraging automation tools and AWS-native services can also help streamline processes and ensure consistent, high-quality deliverables in a dynamic environment.

What are the most commonly searched types of Aws Data Engineer jobs in California?

The most popular types of Aws Data Engineer jobs in California are:

What are popular job titles related to Hourly Aws Data Engineer jobs in California?

For Hourly Aws Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Hourly Aws Data Engineer jobs in California look for?

The top searched job categories for Hourly Aws Data Engineer jobs in California are:

What cities in California are hiring for Hourly Aws Data Engineer jobs?

Cities in California with the most Hourly Aws Data Engineer job openings:

Infographic showing various Hourly Aws Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AWS Data Engineer

San Francisco, CA • On-site

Apex Informatics
IT Services • 1 - 10 employees

$134K - $162K/yr

Contractor

Re-posted 15 days ago


Job description

AWS Data Engineer
Location: San Francisco and jersey city ( 3 days onsite 2 days remote)
look for nearby Candidates only ( Only w2 Required)
Must Have Skills :
Spark, AWS, data lake, data pipelining python
Job Description:
As an AWS Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be responsible for onboarding data sources into our data lake, building robust data pipelines, and ensuring data quality and governance. Your expertise in AWS services and data engineering best practices will be essential in driving our data initiatives forward.
Key Responsibilities:
• Data Onboarding: Onboard various data sources into the data lake, ensuring seamless integration and data consistency.
• Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines using AWS services such as Lambda, Step Functions, and EMR.
• Data Registration: Register data sources and manage metadata to ensure data discoverability and accessibility.
• Data Quality Management: Implement data quality checks and transformations to ensure the accuracy and reliability of data.
• Data Governance: Comply with data governance principles and best practices to ensure data security, privacy, and compliance.
• Infrastructure as Code: Utilize Terraform scripting to manage and automate AWS infrastructure.
• Data Processing: Leverage Spark and other big data technologies to process and analyze large datasets.
• Orchestration: Use Airflow and Step Functions to orchestrate complex data workflows.
• Data Modeling: Work with Snowflake, Iceberg table formats, and other data modeling tools to design and optimize data storage solutions.
• Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Required Skills and Qualifications:
• AWS Services: Proficiency in AWS Lake Formation, Step Functions, Lambda (serverless), EC2, EMR, and EKS.
• Scripting and Programming: Strong experience with Python and Terraform scripting.
• Data Tools: Experience with Jupyter Notebook, RDS, Snowflake, and Iceberg table formats.
• Big Data Technologies: Expertise in Spark and data pipeline orchestration tools like Airflow and dbt.
• Data Engineering: Solid understanding of data engineering principles, including ETL processes, data warehousing, and data modeling.
• Data Governance: Knowledge of data governance principles and best practices.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data-related issues.
• Communication: Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
• Certifications: AWS Certified Data Engineer or Analytics - Specialty, AWS Certified Solutions Architect, or other relevant certifications.
• Experience: Previous experience in a similar role within a fast-paced, data-driven environment