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Remote Aws Data Engineer Jobs (NOW HIRING)

Senior AWS Data Engineer

Atlanta, GA ยท Remote

$108K - $147K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... and AWS developer tools. * Experience with DynamoDB, EC2, ECS and Batch. * Exposure to data ...

Senior AWS Data Engineer

Mountain View, CA ยท Remote

$108K - $147K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... and AWS developer tools. * Experience with DynamoDB, EC2, ECS and Batch. * Exposure to data ...

Senior AWS Data Engineer

Mountain View, CA ยท On-site +1

$125K - $169K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... and AWS developer tools. * Experience with DynamoDB, EC2, ECS and Batch. * Exposure to data ...

Senior AWS Data Engineer

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... and AWS developer tools. * Experience with DynamoDB, EC2, ECS and Batch. * Exposure to data ...

AWS Data Engineer (Senior)

$108K - $147K/yr

They are seeking a Senior AWS Data Engineer to develop and maintain data pipelines, create data models, and optimize data solutions using various AWS technologies. Responsibilities : โ€ข Develop and ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX ยท Remote

$117K - $140K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX ยท On-site +1

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX ยท Remote

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Cloud Data Engineer

Tulsa, OK ยท 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 Data Engineer (Associate)

Seattle, WA ยท On-site +1

$130K - $156K/yr

Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer * Understanding of DataOps Engineering How we work? We run a ...

AWS Data Engineer (Associate)

Seattle, WA ยท Remote

$117K - $140K/yr

Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer * Understanding of DataOps Engineering How we work? We run a ...

Sr. AWS Data Engineer

Des Moines, IA ยท Remote

$65 - $75/hr

... data use cases while contributing to engineering standards and best practices in a modern data ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

AWS/Snowflake Data Engineer Location: Richardson, OK Type: Contract Compensation: $90.32 Work Model ... Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud ...

AWS/Snowflake Data Engineer Location: Richardson, OK Type: Contract Compensation: $90.32 Work Model ... Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud ...

AWS/Snowflake Data Engineer Location: Richardson, OK Type: Contract Compensation: $90.32 Work Model ... Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud ...

AWS/Snowflake Data Engineer Location: Richardson, OK Type: Contract Compensation: $90.32 Work Model ... Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud ...

AWS Data Engineer (Senior)

Seattle, WA ยท On-site +1

$120K - $163K/yr

Track new AWS data technologies and judge their impact on the systems we run. What are we looking for? * Bachelor's degree in Computer Science, Engineering, or a related field. * 3+ years of ...

AWS Data Engineer (Senior)

Seattle, WA ยท Remote

$108K - $147K/yr

Track new AWS data technologies and judge their impact on the systems we run. What are we looking for? * Bachelor's degree in Computer Science, Engineering, or a related field. * 3+ years of ...

AWS Data Engineering (Glue, Lambda, Step Functions) * Data Lake / ELT pipeline experience Education- Bachelor's degree in Computer Science / IT or related field This is a remote position.

AWS Data Architect

Atlanta, GA ยท Remote

$65.25 - $84/hr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... AWS Solution Architect - Associate This position can be remote and work hours must be based on ...

Showing results 41-60

Remote Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 30, 2026, the average yearly pay for remote 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 is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What are the key skills and qualifications needed to thrive as a remote AWS data engineer?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

More about Remote Aws Data Engineer jobs

What cities are hiring for Remote Aws Data Engineer jobs?

Cities with the most Remote 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 Remote Aws Data Engineer jobs?

States with the most job openings for Remote Aws Data Engineer jobs include:

Infographic showing various Remote Aws 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior AWS Data Engineer

Atlanta, GA โ€ข Remote

$108K - $147K/yr

Full-time

Posted 19 days ago


Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

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.
  • Develop and manage workflows using Glue, Lambda, and Step Functions.
  • Build event-driven integrations using SNS, SQS, and related AWS services.
  • Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
  • Write and tune high-performance SQL for complex transformations and reporting.
  • Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
  • Design and Support API-based and JSON-based integrations across internal and external systems.
  • Troubleshoot operational issues, identify root causes, and implement corrective actions.
  • Contribute to documentation, deployment automation, and engineering best practices.
  • Collaborate with stakeholders and mentor junior team members where needed.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • N/A

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Keywords:
Python, PySpark, AWS, ETL, SQL
Requirements:
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real time systems
  • Good understanding on Agents and MCP