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

Costco Wholesale

Platform Engineer - Adobe

Seattle, WA · On-site

The Platform Engineer role involves translating high-level platform designs into technical implementations, managing platform operations, and ensuring secure data flows across Adobe solutions to ...

Helion

Senior Software Engineer, Data Platform

Everett, WA · On-site

$135K - $178K/yr

They are seeking a Senior Software Engineer for their Data Platform to design, develop, and operate a secure and efficient data platform that supports various engineering and business functions.

Helion

Senior Software Engineer, Data Platform

Everett, WA · On-site

$135K - $178K/yr

As a Senior Software Engineer for the Data Platform, you will design, develop, and operate a secure and scalable platform for data flow, collaborating with cross-functional teams to enhance business ...

Weyerhaeuser Company

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

We expect engineers to use AI as a force multiplier - both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products ...

Helion

Senior Software Engineer, Data Platform

Everett, WA · On-site

$135K - $178K/yr

The Senior Software Engineer, Data Platform will design, develop, and operate a secure, scalable platform to facilitate data flow across various systems, playing a key role in supporting operational ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

We expect engineers to use AI as a force multiplier - both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products ...

TEKFORTUNE INC

The DevOps/Platform Engineer

Seattle, WA · On-site

$60 - $82.25/hr

Required : • 5-7 years of experience in DevOps, platform engineering, or site reliability engineering (SRE) with a focus on data platforms. • Expert-level AWS experience: IAM, VPC, CloudFormation ...

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in Seattle, WA

Data Platform Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data platform engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data platform 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 are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Seattle, WA? The most popular types of Data Platform Engineer jobs in Seattle, WA are:
What are popular job titles related to Data Platform Engineer jobs in Seattle, WA? For Data Platform Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Seattle, WA look for? The top searched job categories for Data Platform Engineer jobs in Seattle, WA are:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Staff Software Engineer, Data Platform (FedRAMP)

Okta

Bellevue, WA • Hybrid

$129K - $155K/yr

Full-time

Re-posted 5 days ago

Okta rating

9.8

Company rating: 9.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

3rd of 242 rated software companies

Job description

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:

  • Streaming analytics 
  • Interactive end-user reporting 
  • Data and ML platform for Okta to scale
  • Telemetry of our products and data

Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. 

About the Position

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake. 

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and Responsibilities:
  • Design, implement and own data-intensive, high-performance, scalable platform components
  • Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
  • Conduct and participate in design reviews, code reviews, analysis, and performance tuning
  • Coach and mentor engineers to help scale up the engineering organization
  • Debug production issues across services and multiple levels of the stack 
Required Knowledge, Skills, and Abilities: 
  • 8+ years of experience in object-oriented language, preferably Java 
  • Hands-on experience using a cloud-based distributed computing technologies including
    • Messaging systems such as Kinesis, Kafka 
    • Data processing systems like Flink, Spark, Beam
    • Storage & Compute systems such as Snowflake, Hadoop
    • Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos
  • Experience in developing and tuning highly scalable distributed systems
  • Excellent grasp of software engineering principles
  • Solid understanding of multithreading, garbage collection and memory management
  • Experience with reliability engineering specifically in areas such as data quality, data observability and incident management
Nice to have
  • Maintained security, encryption, identity management, or authentication infrastructure
  • Leveraged major public cloud providers to build mission-critical, high volume services
  • Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
  • Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
  • Experience developing Kubernetes based services on AWS Stack

Additional requirements:

  • This position requires the ability to access federal environments and/or have access to protected federal data.  As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

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