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Aws Cloud Data Engineer Jobs (NOW HIRING)

Cloud Data Engineer

Columbus, OH · On-site

$53.75 - $72/hr

Preferred : • 5+ years of work experience with ETL and Data Modeling on AWS Cloud Databases. • ... Knowledge of Engineering and Operational Excellence using standard methodologies. Company

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

AWS Cloud Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

AWS Cloud Data Engineer

Tulsa, OK · On-site

$120 - $160/hr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

AWS Cloud Data Engineer

Seattle, WA

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect * Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect * Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

Cloud Data Engineer

Falls Church, VA · On-site

$112K - $196K/yr

Hands-on experience with AWS cloud services * Experience with Databricks or similar cloud data ... Exposure to DevOps/DevSecOps practices * Experience assessing software dependencies, licensing, or ...

Cloud Data Engineer

Falls Church, VA · On-site

$112K - $196K/yr

Hands-on experience with AWS cloud services * Experience with Databricks or similar cloud data ... Exposure to DevOps/DevSecOps practices * Experience assessing software dependencies, licensing, or ...

Cloud Data Engineer

Nottingham, MD · On-site

$114K - $136K/yr

Cloud Data Engineer Nottingham, Maryland(Hybrid, 2 3 days on-site / week) Phone + SKype Visa : USC ... Manage the AWS Cloud infrastructure, in particular, compute and storage services (EC2, S3 ...

AWS Cloud Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

AWS Cloud Architect Reporting to the Senior Manager, HSM Digital Solutions, you will help design ... You will partner with business stakeholders, Hilton Technology, data engineering teams, and ...

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Cloud Data Engineer Work Location: Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 ... Azure, AWS, and/or GCP certifications preferred. * Develop and implement technical efforts to ...

AWS Cloud Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

AWS Cloud Architect 1+ Year Contract McLean, VA OR Memphis, TN (hybrid) (6184) IMMEDIATE new job ... In this role you will partner with business stakeholders, technology, data engineering teams, and ...

Diverse Lynx is seeking an AWS Cloud Data Lake Lead to manage a team of data scientists and ML engineers. The role involves defining data science operations strategy, architecting scalable ML ...

Showing results 21-40

Aws Cloud Data Engineer information

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

As of Sep 6, 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 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.

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.
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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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Cloud Data Engineer

AA2IT

Columbus, OH • On-site

$53.75 - $72/hr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
AA2IT is seeking a Cloud Data Engineer to develop, expand, and optimize their data pipeline architecture. The role involves collaborating with cross-functional teams to ensure efficient data flow and collection, while also being responsible for the design and implementation of cloud technology platforms.
Responsibilities:
• The Cloud Data Engineer will be responsible for developing, expanding, and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
• During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
• To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism.
• A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.
• Key accountabilities of the function Leading Operations for Assigned Systems:
• Designing, implementing, and operating assigned cloud technology platforms as the technical expert.
• Leading internal and external resources in the appropriate utilization of cloud technology platforms.
• Executing ITSM/ITIL processes to ensure ongoing stable operations and alignment with SLAs.
• Steering providers in the execution of tier 2 and 3 support tasks and SLAs.
• Resolving escalated support issues.
• Performing routine maintenance, administering access and security levels.
• Driving System Management & Application Monitoring.
• Ensuring monitoring and correct operation of the assigned system.
• Ensuring changes to the system are made for ongoing run and support.
• Ensuring consolidation of emergency activities into regular maintenance.
• Analyzing system data (system logs, performance metrics, performance counters) to drive performance improvement.
• Supporting Agility & Customer Centricity.
• Supporting the end user with highly available systems.
• Participating in the support rotation.
• Performing other duties as assigned by management Additional skills: special skills / technical ability etc.
• Demonstrated experience in vendor and partner management.
• Technically competent with various business applications, especially Financial Management systems.
• Experience at working both independently and in a team-oriented, collaborative environment is essential.
• Must be able to build and maintain strong relationships in the business and Global IT organization.
• Ability to elicit cooperation from a wide variety of sources, including central IT, clients, and other departments.
• Strong written and oral communication skills.
• Strong interpersonal skills.
Qualifications:
Required:
• This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of relevant employment experience.
• 2+ years of work experience with ETL and Data Modeling on AWS Cloud Databases.
• Expert-level skills in writing and optimizing SQL.
• Experience operating very large data warehouses or data lakes.
• 3+ years SQL Server.
• 3+ years of Informatica or similar technology.
• Knowledge of Financial Services industry.
• Financial Services Required Learning Courses: UDAAP, The Gramm-Leach-Bliley Act.
Preferred:
• 5+ years of work experience with ETL and Data Modeling on AWS Cloud Databases.
• Experience migrating on-premise data processing to AWS Cloud.
• Relevant AWS certification (AWS Certified Data Analytics, AWS Certified Database, etc.).
• Expertise in ETL optimization, designing, coding, and tuning big data processes using Informatica Data Management Cloud or similar technologies.
• Experience with building data pipelines and applications to stream and process datasets at low latencies.
• Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
• Sound knowledge of data management and knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
• Knowledge of Engineering and Operational Excellence using standard methodologies.
Company:
Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services. Founded in , the company is headquartered in Sugar Land, USA, with a team of 201-500 employees. The company is currently Growth Stage.