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Remote Amazon Data Engineer Jobs in Seattle, WA (NOW HIRING)

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 ... Write SQL Queries in - Amazon Athena, Amazon Redshift * Explore new technologies and learn new ...

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 ... Write SQL Queries in - Amazon Athena, Amazon Redshift * Explore new technologies and learn new ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory. • Build and maintain a ...

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

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 ... Develop and maintain data pipelines using Amazon EMR or Amazon Glue. * Create data models and end ...

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 ... Develop and maintain data pipelines using Amazon EMR or Amazon Glue. * Create data models and end ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Milliman

Data Engineer (MedInsight)

Seattle, WA · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

New

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

MacDonald-Miller Facility Solutions

Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Building performance - Control systems, fault detection, energy services and remote monitoring ... MacDonald-Miller is looking for a Data Engineer to join our IT team and help build the data ...

Ziply Fiber

Senior Data Engineer

Kirkland, WA · On-site +1

$114K - $154K/yr

This is a remote position. Position Title: Senior Data Engineer Base Salary: $114,700 to $154,200 annually DOE Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and ...

Deloitte

AI and Data Science Engineer III

Seattle, WA · On-site +1

$130K - $156K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

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Showing results 1-20

All JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Seattle, WA

Remote Amazon Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Jun 12, 2026, the average yearly pay for remote amazon data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Remote work is common for data engineers, including those working with companies like Amazon. Many data engineering roles involve tasks such as data pipeline development, database management, and cloud platform usage, which can often be performed remotely with the right skills and tools. However, some positions may require on-site presence for collaboration or specific project needs.

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Does Amazon hire for remote work?

Amazon offers remote work opportunities for various roles, including data engineers, depending on the position and team needs. Many remote positions require relevant skills, such as experience with cloud platforms like AWS, and may involve flexible schedules or specific technical requirements.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What engineers make $500,000?

Senior data engineers, especially those working at large tech companies like Amazon, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, cloud platforms, and programming, as well as a track record of impactful projects.

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What are the most commonly searched types of Amazon Data Engineer jobs in Seattle, WA? The most popular types of Amazon Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Seattle, WA? For Remote Amazon Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Amazon Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Amazon Data Engineer jobs? Cities near Seattle, WA with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you
Infographic showing various Remote Amazon Data Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.
AWS Data Engineer (Associate)

AWS Data Engineer (Associate)

Mactores

Seattle, WA • Remote

$117K - $140K/yr

Full-time

Posted 19 days ago

Job description

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

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 with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. 

If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
  • Write efficient code in - PySpark, Amazon Glue
  • Write SQL Queries in - Amazon Athena, Amazon Redshift
  • Explore new technologies and learn new techniques to solve business problems creatively
  • Collaborate with many teams - engineering and business, to build better data products and services 
  • Deliver the projects along with the team collaboratively and manage updates to customers on time
What are we looking for?
  • 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
  • 2+ years of experience in writing ETL jobs using  pySpark, and SparkSQL
  • 2+ years of experience in SQL queries and stored procedures
  • Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+
You will be preferred if you have
  • Prior experience in working on AWS EMR,  Apache Airflow
  • Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
  • Understanding of DataOps Engineering
Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment: 
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.


Note: Please answer as many questions as possible with this application to accelerate the hiring process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.