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

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to ...

Data Platform Engineer II

Seattle, WA · On-site

$105K - $130K/yr

As a Data Platform Engineer,you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing,analyticsand reporting. Leveraging your ...

Data Platform Engineer II

Seattle, WA · On-site

$105K - $130K/yr

As a Data Platform Engineer, you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing, analytics and reporting. Leveraging your ...

Data Platform Engineer II

Seattle, WA · On-site

$105K - $130K/yr

As a Data Platform Engineer,you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing,analyticsand reporting. Leveraging your ...

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

What You'll Own and Deliver (Responsibilities) As a software engineer on our data platform team, you will design and build scalable systems, write maintainable and well-tested code, and own end-to ...

The Role Haus's data engineering team powers the entire incrementality platform - every causal experiment, every marketing mix model, every dollar of ad spend we help our customers reallocate runs on ...

Software Engineer, Data Platform

Seattle, WA

$130K - $156K/yr

What You'll Own and Deliver (Responsibilities) As a software engineer on our data platform team, you will design and build scalable systems, write maintainable and well-tested code, and own end-to ...

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

What You'll Own and Deliver (Responsibilities) As a software engineer on our data platform team, you will design and build scalable systems, write maintainable and well-tested code, and own end-to ...

Platform Engineers are well versed in modern data, infrastructure and integration platforms, industry/technology best practices and actively work on improving the reliability and scalability of ...

Platform Engineers are well versed in modern data, infrastructure and integration platforms, industry/technology best practices and actively work on improving the reliability and scalability of ...

Platform Engineers are well versed in modern data, infrastructure and integration platforms, industry/technology best practices and actively work on improving the reliability and scalability of ...

Platform Engineers are well versed in modern data, infrastructure and integration platforms, industry/technology best practices and actively work on improving the reliability and scalability of ...

Platform Engineers are well versed in modern data, infrastructure and integration platforms, industry/technology best practices and actively work on improving the reliability and scalability of ...

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Showing results 1-20

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 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:
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.

Data Platform Engineer

Astronomer

Seattle, WA • On-site

$200K - $250K/yr

Full-time

Re-posted 19 days ago


Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence our product's evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.
What you get do:
  • Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
  • Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
  • Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
  • Influence Product Direction: Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
  • Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.

What you bring to the role:
  • Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment.
  • Experience and Expertise: 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
  • Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.
  • Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
  • Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.

Bonus points if you have:
  • Hands-on Python scripting skills for data pipeline support.
  • Experience with open-source data tools.
  • Background in designing data workflows in a production environment.
  • Customer-facing experience in a technical or consultative role.
  • Experience working with Command Line Interfaces (CLI).

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
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At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.