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Remote Aws Data Engineer Jobs (NOW HIRING)

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · 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 ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage ...

Trianz

AWS Data Architect

Clinton, NJ · On-site +1

$66.50 - $85.50/hr

AWS Data Architect Location:[Location(s) / Remote] - Hybrid - Clinton, NJ - 3 days in a week from ... Mentor data engineers and enforce engineering best practices * Act as the primary owner of data ...

CCT

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 ...

Kforce Technology Staffing

Remote AWS Engineer

Austin, TX · On-site +1

$55.25 - $73.75/hr

Kforce's client is seeking a Remote AWS Engineer to lead the next phase of our cloud infrastructure ... Partner with engineering, data, and security teams to support scalable platform operations ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or ...

Changeis

Data Engineer

$117K - $140K/yr

Data Engineer (Remote - Federal Contract Opportunity) We are seeking a Data Engineer to support U.S ... Experience with AWS data services (e.g., S3, Glue, Redshift, Lambda) * Familiarity with schema ...

Eitacies Inc

Senior Data Engineer

Los Angeles, CA · Remote

$60/hr

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

Random Bit

AWS Data Architect

Charlotte, NC · On-site +1

$130K - $165K/yr

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 ...

Random Bit

AWS Data Architect

Charlotte, NC · Remote

$130K - $165K/yr

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 ...

Webtellect, LLC

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 ...

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Remote Aws Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 18, 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 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.

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

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.
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:
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Remote Aws Data Engineer jobs near you
Infographic showing various Remote Aws Data Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. 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 - Fully Remote - US Only

Scalepex

Plano, TX • On-site, Remote

$109K - $131K/yr

Full-time

Posted 29 days ago

Job description

❋ Why Scalepex?
Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.
❋ Take your portfolio to the next level by working with one of our fastest growing clients.
Join the Innovation Frontier at Scalepex!
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 at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.
Key Responsibilities
  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements
Required Qualifications
  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.

  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role

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