1

Aws Data Engineer Jobs (NOW HIRING)

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to Corp***** JD Design and Development: Design, develop, and implement data pipelines using AWS services such as ...

AWS Data Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

We are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow. * The role ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The role involves working closely with business stakeholders, analysts, and engineering teams to enable data driven decision making using large scale datasets and AWS cloud technologies. This role is ...

Senior AWS Data Engineer

Newark, NJ · On-site

$110K - $150K/yr

Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption. * Troubleshoot complex data issues and provide technical ...

AWS data engineer

Austin, TX · On-site

$113K - $136K/yr

Experience with AWS and data pipeline engineering. A/B Testing: Experience in designing and conducting A/B tests to inform feature performance and product improvements. Nice to have Technical Skills:

Sr. AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

The role involves programming, data engineering tasks, and developing ETL processes using various AWS services. Responsibilities : • Programming • Python: Strong hands-on experience with Python ...

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Job Title : Sr. AWS Data Engineer Exp : 9+ Years Location : Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior Data Engineer with hands-on coding ...

AWS Data engineer

Reston, VA · On-site

$119K - $143K/yr

Job Title: Data Engineer Location: Reston, VA (Hybrid) Type - Full Time H1 Transfer works ... Strong knowledge on AWS services such as (S3, RDS, EC2, Lambda, SQS, SNS, Redshift) * Excellent ...

Senior AWS Data Engineer

Dallas, TX · On-site

$50 - $58/hr

In-person (Client interview- Mandatory) Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal ...

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Job Title : Sr. AWS Data Engineer Exp : 9+ Years Location : Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior Data Engineer with hands-on coding ...

Senior AWS Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Experience developing data engineering pipelines on AWS stack using Python. * Deep technical knowledge of AWS services - EC2, ECS, EMR, Lambda, Step Functions, S3, SNS/SQL, CloudWatch. * Solid ...

We have a job opportunity of a Role AWS Data Engineer with given on W2 . Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910. Role : AWS Data Engineer (W2 Position) Location

Senior AWS Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Experience developing data engineering pipelines on AWS stack using Python. * Deep technical knowledge of AWS services - EC2, ECS, EMR, Lambda, Step Functions, S3, SNS/SQL, CloudWatch. * Solid ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Overview: • AWS, Glue, PySpark, Redshift/S3, Data Modelling, Git • Strong experience in ETL/data pipeline development and data integration from FLEX, Agiloft, CARS systems. • Proficient in SQL ...

Senior AWS Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Senior AWS Data Engineer with 5yrs of Banking Domain Experience Location: Miami/ Boston MA - Hybrid Duration : 6+Months Role Description: * SME for Level 2 Support of the data lake * Builds and ...

next page

Showing results 1-20

Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do aws data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for 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 AWS Data Engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What are AWS Data Engineers?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

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

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

How much do Amazon data engineers make?

Amazon data engineers typically earn a salary ranging from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in AWS services and big data tools can earn higher compensation, often exceeding $180,000 per year.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS data engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud computing and data-driven decision making. Skills in AWS services like S3, Redshift, and Glue, along with data pipeline development, are highly sought after across various industries. The role often requires certifications and experience with big data tools, contributing to strong job growth prospects.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like AWS, can earn $500,000 or more annually, especially with extensive experience, specialized skills in big data tools, and in high-demand industries. Achieving this level often requires advanced certifications, leadership roles, and a strong understanding of data architecture and engineering best practices.

What is the salary of AWS data engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those in high-demand regions may offer higher compensation. Skills in cloud architecture, data pipeline development, and tools like Spark or Hadoop can influence salary levels.
What cities are hiring for Aws Data Engineer jobs? Cities with the most Aws Data Engineer job openings:
What are the most commonly searched types of Aws Data Engineer jobs? The most popular types of Aws Data Engineer jobs are:
What states have the most Aws Data Engineer jobs? States with the most job openings for Aws Data Engineer jobs include:
Infographic showing various Aws Data Engineer job openings in the United States as of June 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AWS Data Engineer

Sarian, Inc.

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Role: AWS Data Engineer
Location: Seattle, WA
Onsite position
Fulltime position
*****NO Corp to Corp*****
JD
Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data.
ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems.
Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data.
Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data.
Data Security: Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations.
Optimization and Monitoring: Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health.
Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals.
Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/