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Remote Data Engineer Jobs in Bothell, WA (NOW HIRING)

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 ...

Senior Healthcare Data Engineer

Seattle, WA · Remote

$120K - $163K/yr

... in data engineering, analytics, or a quantitative analyst role with substantial hands-on coding ... It is preferred that this employee work in-office, but remote candidates anywhere in the US will be ...

Senior Healthcare Data Engineer

Seattle, WA · Remote

$120K - $163K/yr

... in data engineering, analytics, or a quantitative analyst role with substantial hands-on coding ... It is preferred that this employee work in-office, but remote candidates anywhere in the US will be ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it, digging in it, understanding what type of insights stakeholders want from it and helping them ...

Data & AI Operations Manager

Seattle, WA · On-site +1

$112K - $179K/yr

You will collaborate with stakeholders across Legal & Compliance, Operations, Data Engineering, and ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering

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Showing results 1-20

Remote Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do remote data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Bothell, WA? The most popular types of Data Engineer jobs in Bothell, WA are:
What are popular job titles related to Remote Data Engineer jobs in Bothell, WA? For Remote Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Bothell, WA look for? The top searched job categories for Remote Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Data Engineer jobs? Cities near Bothell, WA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.
AWS Data Engineer (Senior)

AWS Data Engineer (Senior)

Mactores

Seattle, WA • Remote

$108K - $147K/yr

Full-time

Posted 16 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.

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 Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
What you will do?
  • Develop and maintain data pipelines using Amazon EMR or Amazon Glue.
  • Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
  • Build and maintain the orchestration of data pipelines using Airflow.
  • Collaborate with other teams to understand their data needs and help design solutions.
  • Troubleshoot and optimize data pipelines and data models.
  • Write and maintain PySpark and SQL scripts to extract, transform, and load data.
  • Document and communicate technical solutions to both technical and non-technical audiences.
  • Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems.
What are we looking for?
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience working with PySpark and SQL.
  • 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.
  • 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
  • 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and within a team environment.
You are preferred if you have
  • AWS Data Analytics Specialty Certification
  • Experience with Agile development methodology
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.