Data Engineer Jobs in Seattle
Looking to build robust data pipelines and scalable infrastructure in one of the world's leading tech hubs? Seattle offers a dynamic landscape for Data Engineers, with its deep roots in cloud computing, e-commerce, and cutting-edge AI. This city is a magnet for top-tier talent and innovative companies that are constantly pushing the boundaries of data technology. You'll find unparalleled opportunities to work on complex, high-impact projects. Seattle provides an exciting environment where your data engineering skills are highly valued and in constant demand, whether you're optimizing warehouses for millions of users or designing ETL systems for new AI initiatives.
The Market
Seattle hiring landscape
The Seattle market for Data Engineers is robust, driven by the strong presence of cloud infrastructure giants and a booming AI sector. Hiring temperature is high, with consistent demand across all experience levels. Major players like Amazon and Microsoft are continually scaling their data operations, while numerous startups and mid-sized companies also seek data talent. Recent shifts indicate a growing emphasis on real-time data processing, MLOps integration, and advanced cloud-native solutions, pushing companies to invest heavily in data platform teams.
Demand
High demand
Competition
Moderately competitive
Hub for
cloud infrastructure, ecommerce, gaming
Salary range
Quoted in USD · base + typical equity for Seattle
Salaries in Seattle often reflect total compensation, including significant Restricted Stock Units (RSUs) or equity grants, especially at larger tech firms. Base salaries are strong, but consider the full package to understand your take-home value. Equity can fluctuate with market conditions but is a crucial component of compensation here.
See full data engineer salary breakdown for SeattleWhere to apply
Top employers in Seattle
Amazon
The largest employer in Seattle and a pioneer in cloud services (AWS), offering vast opportunities across e-commerce, cloud infrastructure, and various subsidiaries for Data Engineers.
AWS (S3, Redshift, Glue, Kinesis), Spark, Python, Java, SQL, massive-scale data warehousing and streaming.
Microsoft
A global tech leader with its headquarters near Seattle, heavily invested in cloud (Azure), AI, and enterprise solutions, providing diverse roles for data infrastructure development.
Azure (Data Factory, Synapse, Databricks), Spark, SQL Server, Python, C#, large-scale enterprise data platforms.
Google (Seattle/Kirkland)
While not headquartered in Seattle, Google has a significant engineering presence, focusing on cloud services, search, and AI. Their Seattle office is a major engineering hub.
GCP (BigQuery, Dataflow, Pub/Sub), Spark, Python, Java, Go, large-scale distributed systems.
Meta (Seattle)
Meta maintains a substantial engineering office in Seattle, contributing to its core social platforms, VR/AR, and AI initiatives, requiring robust data infrastructure.
Presto/Trino, Spark, Hive, Python, Java, large-scale data warehousing and analytics infrastructure.
Tableau (A Salesforce Company)
Headquartered in Seattle, Tableau is a leader in data visualization and analytics, employing Data Engineers to build and maintain the platforms powering their products.
SQL, Python, Spark, various databases, focus on data integration and analytics pipeline for BI tools.
Zillow
A Seattle-based online real estate marketplace that leverages vast amounts of property and market data, requiring sophisticated data engineering to power its platforms and algorithms.
AWS, Spark, Python, Kafka, Airflow, building data platforms for real estate intelligence.
Stripe
Though not headquartered in Seattle, Stripe has a growing engineering presence in the city, focusing on scaling its global payments infrastructure, which is inherently data-intensive.
Scala, Spark, Kafka, SQL, Python, building reliable and scalable data pipelines for financial transactions.
Snowflake
A cloud data warehousing leader with a strong Seattle office, hiring Data Engineers to develop and optimize their core data platform and related services for global customers.
SQL, Python, Java/Scala, cloud platforms (AWS/Azure/GCP), distributed systems, internal tools for data warehousing.
Playbook
Apply smarter, not faster
Showcase cloud proficiency, specifically AWS or Azure.
Seattle's tech scene is dominated by cloud giants. Demonstrating deep experience with AWS (S3, Redshift, Glue) or Azure (Data Factory, Synapse) will significantly boost your profile with local employers.
Tailor your resume to highlight data pipeline design and ETL principles.
Many Seattle companies look for Data Engineers who can articulate the 'why' behind their design choices, not just list tools. Focus on scalability, reliability, and data quality in your project descriptions.
Network actively within Seattle's data community.
Attend local meetups (e.g., Seattle Data Grads, AWS User Group Seattle) and conferences. Personal connections can lead to referrals and insights into unadvertised roles at top companies.
Prepare thoroughly for SQL and system design interview rounds.
The typical interview loop for Data Engineers in Seattle places a heavy emphasis on these. Practice complex SQL queries and be ready to design a data pipeline from scratch, discussing trade-offs.
Emphasize collaboration with Data Science teams.
Many roles in Seattle involve bridging the gap between raw data and ML models. Highlight projects where you've built production-ready data feeds or platforms for data scientists.
Be explicit about your interest in Seattle and specific companies.
Recruiters appreciate candidates who have done their homework. Mention why Seattle appeals to you and connect your skills directly to a company's known data challenges or tech stack.
Visa & relocation
Working in Seattle
For non-US citizens, a visa is typically required. Seattle's major employers like Amazon and Microsoft are among the largest H-1B sponsors in the US, making sponsorship more common here than in many other cities. Familiarity with the H-1B lottery process or having an existing work authorization is beneficial. Relocation packages, including moving expenses and temporary housing, are often provided by larger tech companies for eligible candidates. The primary language used in professional settings in Seattle is English.
FAQ
Data Engineer jobs in Seattle
What you should know.
You'll most commonly find roles requiring proficiency in SQL and Python, coupled with cloud platforms like AWS (S3, Redshift, Glue, Kinesis) or Azure (Data Factory, Synapse). Spark, Airflow, Kafka, and increasingly dbt, are also highly sought-after tools within Seattle's data ecosystem.
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