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

Mactores

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior role in our Data Platform Modernization pillar: consolidating and ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior role in our Data Platform Modernization pillar: consolidating and ...

IPinfo

New Business Sales Representative

Seattle, WA · On-site +1

This approach delivers industry-leading accurate and reliable IP intelligence, strengthened by billions of weekly lookups and a team of remote data engineers and researchers. The data supports some ...

IPinfo

New Business Sales Representative

Seattle, WA · Remote

This approach delivers industry-leading accurate and reliable IP intelligence, strengthened by billions of weekly lookups and a team of remote data engineers and researchers. The data supports some ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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Showing results 21-40

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

Remote Data Engineer information

See Redmond, WA salary details

$49.8K

$145.3K

$198.8K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Redmond, WA is $145,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $154,000.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Redmond, WA?

The most popular types of Data Engineer jobs in Redmond, WA are:

What are popular job titles related to Remote Data Engineer jobs in Redmond, WA?

For Remote Data Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Redmond, WA look for?

The top searched job categories for Remote Data Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Remote Data Engineer jobs?

Cities near Redmond, WA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,276 per year, or $69.8 per hour.

Staff Data Engineer, Individual Contributor | Data & Machine Learning

MedBridge, Inc.

WA • On-site, Remote

$128K - $154K/yr

Full-time

Posted 15 days ago

Job description

Job Type
Full-time
Description
Join the team shaping the future of healthcare! Medbridge is a dynamic software company working with the country's largest healthcare providers to build technology solutions that help patients get better faster while decreasing the overall cost of care. The Data & Machine Learning team is building a secure, reliable data foundation that will power better decisions, intelligent product experiences, and improved care for millions of patients.
We hire in the following states: AZ, CO, FL, GA, ID, IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI.
Why work at Medbridge?
  • We are mission driven. Our mission is clear-we want to help everyone move well, feel well, and live well.
  • You'll make an impact here. 300,000+ clinicians use our products daily, impacting millions of patients. The content you create helps them stay informed and deliver better care.
  • Our customers love Medbridge! We work with 9 of the top 10 private practice and hospital systems nationwide, and 6 of the top 10 home health organizations.

The Staff Data Engineer is the senior individual contributor responsible for Medbridge's data-platform architecture, security, reliability, and data movement. This is a hands-on role for someone who can simplify a developing environment while introducing the engineering rigor required for internal analytics, secure external use, AI workloads, and data-powered product experiences. Success means creating a simpler, more reliable experience for data producers and consumers, not merely moving complexity into new tools. The role partners closely with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and the Integrations team, leading through influence rather than direct people management.
In this role you will:
  • Own the target-state architecture and technical roadmap for Medbridge's Snowflake-centered data platform, balancing security, reliability, usability, innovation, cost, and operational complexity.
  • Build and operate reliable data pipelines and integrations using strong Python and SQL engineering practices, covering ingestion, incremental processing, schema evolution, failure handling, retries, reconciliation, observability, and recovery across key operational and SaaS data sources.
  • Design and enforce Snowflake security and RBAC, applying least privilege, separation of duties, auditability, secure sharing, retention, monitoring, and appropriate access patterns for internal users, external use cases, service accounts, and AI workloads.
  • Establish production-grade engineering and platform operations, including testing, version control, code review, CI/CD, secrets management, environment promotion, deployment and rollback, service expectations, monitoring, alerting, incident response, and recovery.
  • Own data governance, contracts, and technical lineage, maintaining source-system ownership and inventory while establishing data contracts, schemas, interfaces, quality expectations, change management, deprecations, migrations, documentation, and clear communication of downstream impact.
  • Enable secure and reliable data delivery and consumption, creating reusable patterns and interfaces that move data from Snowflake into applications, APIs, analytics, ML/AI workloads, and customer-facing products while making data easier to discover, understand, access, and trust.
  • Lead cross-functional technical initiatives and raise engineering standards, partnering with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and Integrations to establish pragmatic patterns, enable AI/ML workloads, evaluate build-versus-buy decisions, and continuously reduce unnecessary platform complexity.

What will make you succeed:
  • Deep experience designing and operating cloud data platforms, including ingestion, orchestration, warehouse architecture, security, reliability, and production operations in regulated environments; healthcare experience is a plus, not a requirement.
  • Strong Snowflake expertise, including RBAC, contractual data separation, secure internal and external access patterns, secure views and sharing, warehouse and resource management, query and cost optimization, metadata, monitoring, and environment design.
  • Proven data pipeline expertise, building and operating batch and incremental pipelines with explicit failure handling, retries, reconciliation, observability, recovery, and clear ownership.
  • Strong Python and SQL engineering skills, with experience in modular design, testing, version control, code review, packaging, CI/CD, and maintainable interfaces.
  • Experience operating production data systems, including development, staging, and production workflows, deployment practices, and effective partnership with DevOps or platform engineering.
  • Experience delivering data beyond the warehouse, including applications, APIs, ML systems, reverse-ETL, or other operational consumers, with strong data contracts covering ownership, quality, compatibility, schema evolution, deprecation, and breaking-change communication.
  • Sound security and architectural judgment, including experience partnering with Security, Privacy, or Legal on sensitive or regulated data and making pragmatic build-versus-buy and managed-service decisions.
  • Strong technical communication and cross-functional leadership, with the ability to explain architecture, risks, incidents, and tradeoffs clearly; lead complex initiatives; establish standards; and influence without formal authority.
  • A self-directed, low-ego approach to engineering, favoring simple, supportable solutions, shared understanding, and a strong developer and data-consumer experience over unnecessary complexity.
  • A technical or quantitative degree, or equivalent capability demonstrated through professional experience.

Preferred:
  • Advanced Snowflake security experience, including secure access for employees, external customers or partners, and AI or service workloads.
  • Experience building data-to-product capabilities, including warehouse-to-product or reverse-data flows and collaboration with application engineers on customer-facing data products.
  • Experience enabling ML/AI workloads in Snowflake, including Snowpark, Model Registry, ML Jobs, compute pools, containerized workloads, or comparable managed capabilities.
  • Experience modernizing developing data environments, with exposure to Openflow, dbt, Terraform, data catalogs, observability platforms, or healthcare interoperability/EHR/EMR ecosystems, while introducing operational rigor without over-engineering.

Our Values:
Excellence: A job worth doing is a job worth doing RIGHT.
  • We believe that excellence is never an accident. It's the result of high intention, sincere effort, and intelligent execution.
  • We are change-makers who push the boundaries of what is possible, continually reimagining patient care.
  • We realize that our work impacts people's health and demands that we hold ourselves to the highest possible standards.
  • We know a good thing when we see it; when exceptional talent comes our way, we hire them and help them grow.
  • We understand the value of time, and we give our best effort every day because we have a day in which to give it.

Fortitude: Our goals are big. Our dedication is bigger.
  • We embrace ambitious and challenging projects with confidence in our ability to achieve them together.
  • We are courageous as we venture into the unknown.
  • We persevere in the face of difficulties.
  • We do not let perfection be the enemy of progress; we focus on taking the next best step forward.
  • We take ownership of our mistakes and of our successes, and we learn from both.

Service: We work for something more important than ourselves.
  • We care deeply about our colleagues, customers, and patients, ensuring our work at Medbridge has a lasting impact.
  • We take a multi-disciplinary, data-oriented approach to solving problems.
  • We lead with confidence and humility, embracing a servant-leadership mindset as we support and challenge one another to reach our shared goals.
  • We know that if we do great work, we help people live healthier lives.

Salary Range: $180,000 - $200,000
At Medbridge, salary ranges are assigned to a job based on 3rd party salary benchmark surveys. Individual pay within this range is informed by the candidate's skills, capabilities, and experience.
We embrace diversity and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. No matter your background, your orientation, your identity expression, or whatever else makes you unique, if you want to raise the bar and join an amazing team of passionate people, then we'd love to work alongside you at Medbridge.
Take the Next Step
If you're excited about this opportunity and think Medbridge is the right fit for your career, apply now! Our Talent Acquisition team will follow up with you shortly.
Please note: Due to reports of phishing, we're requesting that all Medbridge applicants apply through our official careers page at https://www.medbridge.com/careers. All official communication from Medbridge will come from email addresses ending with @ medbridge.com .

Apply