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

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

New

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

New

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Provide technical leadership to global development and data engineering teams. Serve as the ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

New

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

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Showing results 41-60

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

Remote Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do remote data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data engineer in Seattle, WA is $147,618.00, 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.

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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Seattle, WA? The most popular types of Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Data Engineer jobs in Seattle, WA? For Remote Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Data Engineer jobs? Cities near Seattle, WA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 72% Full Time, 5% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Azure Synapse & Power BI Developer

Globenet Consulting Corp

Lynnwood, WA • Remote

$55 - $60/hr

Full-time

Re-posted 13 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Role: Azure Synapse & Power BI Developer
Location: Remote (PST timezone preferred)
Why Join The AES Group INC
  •  Long-term opportunity on modern Azure data platforms 
  •  Remote role with collaboration across data engineering and analytics teams 
  •  High-impact work building pipelines and executive-ready dashboards 
Role Overview
The AES Group INC is seeking an experienced Azure Synapse & Power BI Developer to support data engineering, analytics, and reporting initiatives. You will build scalable data pipelines, transform and optimize data in Azure Synapse, and deliver meaningful insights through Power BI dashboards, reports, and semantic models. This role is ideal for someone who combines strong SQL and data modeling skills with a practical, performance-focused mindset.
Key Responsibilities
  •  Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics
  •  Build and optimize ETL/ELT processes to support large datasets and analytics workloads 
  •  Develop and enhance Power BI dashboards, reports, datasets, and semantic models 
  •  Translate reporting and analytics needs into efficient technical solutions and visual outcomes 
  •  Ensure data quality, reliability, and scalability across pipelines and reporting layers 
  •  Tune SQL queries, Synapse workloads, and Power BI models for performance and usability 
  •  Integrate data from cloud and on-premise sources into curated analytics layers 
  •  Follow data governance, security, and access best practices within Azure ecosystems 
Required Qualifications
  • 4+ years in data engineering, BI development, or analytics engineering 
  •  Strong hands-on experience with Azure Synapse Analytics
  •  Strong Power BI skills, including DAX, data modeling, and report development 
  •  Advanced SQL with performance tuning and optimization experience 
  •  Experience with Azure Data Factory or comparable orchestration/ETL tooling 
  •  Proven experience working with large-scale data environments 
  •  Strong problem-solving and communication skills 
  • U.S. citizenship or valid work authorization preferred
Preferred Qualifications
  •  Experience with Azure Data Lake, Databricks, and/or Microsoft Fabric
  •  Solid understanding of data warehousing concepts and architectures 
  •  Experience building semantic models and advanced DAX measures 
  •  Exposure to real-time or streaming pipelines 
  •  Experience working in Agile delivery environments 
Ready to make an impact? Apply now and join us on our journey!

This is a remote position.