2

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

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML ...

Senior Software Automation Engineer

Redmond, WA · Remote

$116K - $152K/yr

In this fully remote role, you will design and build scalable automation solutions that streamline engineering workflows, improve data quality, and eliminate manual operational processes across large ...

Staff Data Scientist, Ads Delivery

Seattle, WA · On-site +1

$164K - $339K/yr

Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating ... REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for ...

The ideal candidate will have a strong background in solution design, data management, and ... This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ...

LSR Engineer

Lynnwood, WA · Remote

$50 - $60/hr

LSR Integration Engineer (Filevine Integrations) Location: Remote (USA) What Youll Do As an LSR ... data review. Ready to make an impact? Apply now and join us on our journey! This is a remote ...

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

We've seen firsthand how data helps bridge art and science to create delightful experiences ... We have a remote-first team, are backed by incredible investors, and are building a high ...

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Partner with marketing, product, analytics, and engineering teams to define business problems ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services.

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

next page

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 Jul 9, 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.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95K - $106K/yr

Other

Re-posted 3 days ago


Job description

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote