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Aws Cloud Data Engineer Jobs (NOW HIRING)

BankUnited

Cloud Data Engineer II

Miami Lakes, FL · On-site

$50.50 - $67.50/hr

The ideal candidate will have a strong background in cloud data engineering, with expertise in AWS and Snowflake data platforms. ESSENTIAL DUTIES AND RESPONSIBILITIES * Designs, develops, and ...

Long Finch Technologies

$107K - $129K/yr

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal ...

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How much do aws cloud data engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for aws cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What are some common challenges AWS Cloud Data Engineers face when working with large-scale data pipelines?

AWS Cloud Data Engineers often encounter challenges such as optimizing data pipelines for both performance and cost, ensuring data quality and consistency across distributed systems, and managing security and compliance requirements. Collaborating closely with data scientists, analysts, and DevOps teams is essential to address these issues effectively. Staying current with AWS services and best practices is also crucial, as the cloud landscape evolves rapidly and new tools are frequently introduced.

What is an AWS Cloud Data Engineer?

An AWS Cloud Data Engineer is a technology professional who designs, builds, and manages data solutions using Amazon Web Services (AWS). Their primary responsibilities include developing data pipelines, managing databases, and implementing data storage and processing solutions in the cloud. They work with services like Amazon S3, Redshift, Glue, and EMR to enable efficient data collection, transformation, and analysis for organizations. AWS Cloud Data Engineers ensure data reliability, scalability, and security while optimizing performance and cost. This role often requires strong knowledge of cloud architecture, data modeling, and programming languages such as Python or SQL.

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

To thrive as an AWS Cloud Data Engineer, you need expertise in data engineering principles, cloud infrastructure, and proficiency with languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with AWS services like S3, Redshift, Glue, Lambda, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valuable. Strong problem-solving, communication, and collaboration skills help you design scalable solutions and work effectively with cross-functional teams. These skills ensure you can architect robust data pipelines and leverage cloud technologies to support business intelligence and analytics goals.
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Aws Cloud Data Engineer jobs near you
Infographic showing various Aws Cloud Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

AWS Cloud Engineer ____ San Diego, CA | Austin, TX | Fort Mill, SC | New York, NY ___ Contract

Acestack

San Diego, CA • On-site

$59.25 - $79/hr

Contractor

Re-posted 4 days ago

Job description

Role: AWS Cloud Engineer
Location: Onsite – San Diego, CA | Austin, TX | Fort Mill, SC | New York, NY
6-12+ Months Contract

Must have skills: AWS, Cloud Engineering, S3, Glue, Athena, Lambda, CloudWatch Python Programming, data ingestion and ETL Concepts

Job Description:

We are seeking a skilled AWS Cloud Engineer to join our growing team to design, develop, and maintain scalable data pipelines and cloud infrastructure. You will be responsible for implementing data ingestion, transformation, and analytics solutions using modern AWS-native services. This is a hands-on role requiring strong Python programming skills and a deep understanding of cloud technologies.

Key Responsibilities:

  • Design and implement scalable data pipelines using AWS services such as S3, Glue, Athena, Lambda, and others.
  • Build and maintain ETL workflows to support data ingestion and transformation.
  • Optimize data storage and retrieval processes for analytics and reporting.
  • Collaborate with data engineers, analysts, and cloud architects to meet business requirements.
  • Ensure high availability, security, and performance of cloud data environments.
  • Monitor and troubleshoot data processing and infrastructure issues.
  • Implement best practices in version control, CI/CD, and Infrastructure as Code (IaC).

Required Skills & Qualifications:

  • 8+ Years of overall IT Experience
  • 4+ years of experience as a Cloud/Data Engineer with a focus on AWS.
  • Strong proficiency in Python for scripting and automation.
  • Hands-on experience with AWS services including S3, Glue, Athena, Lambda, CloudWatch.
  • Familiarity with data lake and data warehouse architectures.
  • Experience with ETL/ELT frameworks and workflow orchestration tools.
  • Solid understanding of cloud-native development and serverless computing.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Skills:

  • Experience with Terraform, CloudFormation, or other IaC tools.
  • Knowledge of Redshift, EMR, Step Functions, or AWS Lake Formation.
  • Exposure to DevOps tools and CI/CD pipelines.
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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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