Top Senior Level Data Engineer Jobs in Seattle, WA

The Staff Machine Learning Engineer at Cruise will drive the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimize ML pipelines, create data pipelines, define metrics for evaluation, and accelerate engineer velocity within Simulation. The role requires expertise in robotics, machine learning, ML frameworks, runtime optimization, and programming skills in C++ or Python.

The Head of Data at Square will lead centralized Data functions including Data Science, Analytics, Machine Learning, and Data Engineering teams. Responsibilities include driving data strategy, overseeing data functions, establishing data governance, and delivering insights to drive business performance.

Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.

Snap Inc is looking for a Machine Learning Engineer to create models driving value and prioritize duties with strong collaboration skills. The role requires 5+ years of experience in developing machine learning models for various purposes.

Join the Chewy Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models to simplify product discovery for pet lovers on Chewy.com. Work on all stages of model development and impact millions of customers daily.

Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. Must have 5+ years of core data engineering experience with technical proficiency in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.

Senior Data Engineer role at Disney Entertainment & ESPN Technology's Data Platforms Team. Responsible for designing, building, and maintaining data pipelines in Scala, Python, and Spark. Collaborate with Data Product Managers, Architects, and Engineers to deliver data solutions and ensure operational efficiency. Strong technical background required for working with AWS, Databricks, Snowflake, Airflow, and more.