2

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

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong experience with Quadient Inspire, modern data hygiene platforms, and data transformation processes ...

Software Engineer - Cerberus

Seattle, WA · On-site +1

$110K - $145K/yr

Software Engineer - Cerberus Truveta is the world's first health provider led data platform with a ... Prior work with Big Data technologies is a plus Why Truveta? Be a part of building something ...

Senior Software Engineer - Backend

Bellevue, WA · On-site +1

$138K - $182K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ... Build Databricks serverless platform that powers the big data, machine learning and Gen AI ...

Senior Client Executive

Seattle, WA · On-site +1

$170K - $220K/yr

Sell high-demand, high-velocity solutions in AI, Big Data, and product-driven innovation, giving ... Remote-First Flexibility: Work remotely with targeted 10-25% travel to command the room, network at ...

Senior Product Manager - Data Onboarding

Seattle, WA · On-site +1

$144K - $190K/yr

... and big data experience who share our company values. Truveta was born in the Pacific Northwest ... You will partner closely with engineering teams, operations, and health system partners to create ...

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 ...

Showing results 41-60

Remote Big Data Engineer information

See Seattle, WA salary details

$18

$71

$100

How much do remote big data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote big data engineer in Seattle, WA is $71.67, according to ZipRecruiter salary data. Most workers in this role earn between $61.01 and $80.72 per hour, depending on experience, location, and employer.

What is a remote big data engineer?

A Remote Big Data Engineer designs, develops, and manages large-scale data processing systems while working from a remote location. They build data pipelines, optimize data storage, and ensure efficient data processing for analytics and machine learning applications. Their role involves working with technologies like Hadoop, Spark, and cloud platforms to handle massive datasets. Effective communication and collaboration with distributed teams are essential for success in this role.

What skills and qualifications are needed to be a remote big data engineer?

To thrive as a Remote Big Data Engineer, you need a strong background in computer science, data engineering, and programming languages such as Python, Java, or Scala, often supported by a relevant degree. Expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP), along with certifications like Google Professional Data Engineer or AWS Certified Big Data, is highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills allow you to excel in distributed teams. These skills and qualities enable you to efficiently manage, analyze, and derive insights from massive datasets in a remote work environment.

What challenges do remote big data engineers face and how can they be managed?

Remote Big Data Engineers often navigate challenges such as collaborating across different time zones, ensuring secure and efficient data transfer, and maintaining clear communication with distributed teams. Staying up to date with rapidly evolving technologies and troubleshooting complex data pipeline issues without in-person support can also be demanding. Successful engineers manage these challenges by leveraging robust project management tools, fostering transparent communication, and participating in ongoing training or knowledge-sharing sessions. By proactively addressing these hurdles, they contribute to smoother project delivery and continuous team collaboration.

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

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

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

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

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

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

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

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

Infographic showing various Remote Big Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $149,082 per year, or $71.7 per hour.

Senior Java Developer- Remote

Intelliswift Software

Seattle, WA • On-site, Remote

$65.25 - $83/hr

Full-time

Re-posted 12 days ago


Job description

Job ID: 22-00213 Responsibilities
• Design and develop individual features and end-to-end solutions supporting Client's Payments Platform that processes billions of dollars transactions annually.
• Collaborate within an agile, multi-discipline team to understand customer and business scenarios, as well as plan, design and deliver features into production.
• Contribute to team's Engineering practices, with particular focus on code quality, scalability, automated testing, and continuous delivery.
• Develop robust, supportable, secure, scalable software for a high• availability, high-volume system.
• Provide telemetry solutions to support big data analytics, machine learning, and operational metrics analysis.
• Lead technical projects and mentor junior members in the development team.
Qualifications
• Proficiency with both relational and NoSQL data sources.
• Working knowledge of AWS services such as EC2, S3, SQS, DynamoDB, Lambda, CloudFormation, etc., or features on other similar cloud hosting platforms.
• Solid foundation in software engineering practices, data modeling, object-oriented analysis & design, design patterns and algorithms.
• Knowledge of scalable distributed systems, service-oriented and event-driven streaming architecture. Experience with web service technologies such as REST and SOAP.
• Passion for new technologies, operational excellence and customer impact.
• Have a demonstrable track record for delivering successful products.
• Strong verbal and written communication skills.
• Strong problem-solving skills.
• Knowledge of Linux/Docker and open-source software development is desired but not required.
• Experience with e-commerce and payment processing a plus.
• BS or MS in Computer Science, Engineering, or equivalent.
• 6+ years of professional software engineering experience, working in a multi-discipline team environment.
• 4+ years of experience using Java to develop modern, Internet-scale systems.

Intelliswift logo

About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001