Top Data Engineer Jobs in Seattle, WA
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.
Seeking a Principal Data Scientist with strong engineering skills to lead ML and AI initiatives across multiple teams at a financial services company. Responsibilities include building ML / AI products, setting technical standards, providing mentorship, and collaborating with various departments. Requires strong experience in machine learning, AI, data products, and software engineering. Must have expertise in technologies like Airflow, DBT, Git, Docker, Kubernetes, BI tools, Spark, AWS, Snowflake, Scikit-learn, TensorFlow, PyTorch.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define strategy for AI demand, implement use cases, build models, and teach business teams. Requires degree in Data Science, Machine Learning, Statistics, or Artificial Intelligence and experience in leading teams to build predictive models.
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Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
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.
Design and build data pipelines for foundational data sets related to Identity, Account, Profile and Device data. Collaborate with cross-functional teams to define technical requirements, implement ETL strategies, automate data quality checks, and support downstream teams. Work on cloud-based technology to achieve scalability, reliability, and performance in handling extensive amounts of data.
Join our SAP Data and Analytics practice to help clients maximize the value of their SAP investment by leveraging SAP applications for data management and governance. As a Manager, work with a team to solve complex business issues and develop skills outside your comfort zone.
Senior Machine Learning Software Engineer at Dropbox, responsible for designing, building, evaluating, and deploying large-scale ML systems. Collaborate with cross-functional teams to personalize user experiences and drive impactful outcomes. Requires strong industry experience and software engineering skills in Python, Go, and C/C++.
The Database Manager is responsible for executing the day-to-day support, maintenance, and improvement of the organization's CRM systems and related data.
As a Data Engineer II at Deako, you will be responsible for building and maintaining SQL queries for dashboards, improving data infrastructure and pipelines, obtaining and cleaning data for analysis, and participating in data-related meetings. Must have knowledge in SQL and a programming language (Typescript, Python), 1+ years of experience as a Data Engineer, and experience with git. Nice to have experience with DBT, Snowflake, Fivetran, Hightouch, geospatial data, and Gitlab CI. This is a mid-level position in the Data + Analytics category.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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