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Hourly Aws Data Engineer Jobs (NOW HIRING)

Apex Informatics

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 ...

Marencor

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 ...

Sarian, Inc.

AWS Data Engineer

Erie, PA · On-site

$110K - $133K/yr

AWS Data Engineer Location: Erie, PA Onsite position Fulltime position JD: AWS Data engineer, Extensive experience with AWS services: EMR, S3, Redshift, Glue, Lambda, Step Functions, DynamoDB, RDS ...

Cloud BC Labs

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 ...

Sidram Technologies

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration: Fulltime /Contract Onsite: 5 Days Onsite need only USC and GC Rate: 60/hr on W2 Seeking an AWS Data ...

Inizio Partners

AWS Data Engineer

Newark, NJ

$120K - $130K/yr

Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.) * Ensure the best possible performance and quality of high scale data engineering project * Participate in the ...

Plugins Inc

AWS Data Engineer

Dallas, TX

$104K - $125K/yr

We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL ...

Seven Seven Software

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises * Programming experience with Python, Shell scripting and SQL * Solid experience of ...

IT America Inc

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

AWS Data Engineer Location: Richmond, VA (Onsite) Duration: Long term contract Note: Ex-CapitalOne candidates preferred, especially those who worked atleast 1+ yr of exp with them. Job ...

Select Minds LLC

AWS Data Engineer

Dallas, TX

$60 - $65/hr

AWS Data Engineer Location: Dallas, TX (Hybrid 3 days per week in-office) Interview Process: In-Person Interview Profiles Required: 812 Years of Experience Locals & Non-Locals Can Apply Core Skills:

BTree Solutions, Inc.

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Job Title: SR. AWS DATA ENGINEER Location: Reston, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 This position is for AWS Data Engineer. 5-7+ years experience with AWS data ...

Apex Informatics

AWS Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AWS Data Engineer Plano, TX (Hybrid role) Must have skills: AWS, Java/ Python, Lake formation, Glue (ETL), Spark/PySpark, ETL Domain: Banking / Credit card Required qualifications, capabilities, and ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

Seven Seven Software

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc) * Ensure the best possible performance and quality of high scale data engineering project * Participate in the ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

Grinteq

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Position We are looking for an experienced AWS Data Engineer to join the team that develop a data-centric platform that empowers multiple data sources about consumers behaviors across the global for ...

LVT Labs Consulting

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. 8+ years of experience in Data Engineer with AWS services like Simple Storage Service ...

Sarian, Inc.

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

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How much do hourly aws data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for hourly aws data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an Hourly AWS Data Engineer, and why are they important?

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 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.
More about Hourly Aws Data Engineer jobs
What cities are hiring for Hourly Aws Data Engineer jobs? Cities with the most Hourly Aws Data Engineer job openings:
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Hourly Aws Data Engineer jobs near you
Infographic showing various Hourly Aws Data Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AWS Data Engineer

AWS Data Engineer

Apex Informatics

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

Posted yesterday

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

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