Top Hybrid Data Engineer Jobs in Seattle, WA
Senior Machine Learning Engineer role at Square focusing on developing cutting-edge ML models and algorithms for company-wide metrics and GTM channel attribution. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in the field.
Senior Machine Learning Engineer specializing in data-driven attribution to fuel Square's growth. Responsible for building machine learning solutions for the next generation attribution system, collaborating with stakeholders, and staying updated on advancements in ML and data science.
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
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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.
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.
Hiring Senior Machine Learning Engineers to join the ML Platform team at Warner Bros. Discovery. Responsible for building a scalable Machine Learning platform to train, evaluate, deploy, serve, and monitor ML models for global brands.
Architect and lead development of scalable machine learning systems, collaborate with team members to deploy and maintain models, evaluate new technologies, design software architecture, communicate with peers, value collaboration and innovation.
Seeking an AWS Data Engineer (Senior) with extensive experience in PySpark and SQL. Must have experience with Amazon EMR or Amazon Glue for data pipelines and data models using Amazon Redshift or Snowflake, Amazon Athena, and Presto. Experience with Airflow for orchestration is required. Bachelor's degree in Computer Science or related field is preferred. Strong problem-solving and communication skills are required.
As a Business Intelligence and Visualization Specialist, you will help clients make sense of complicated data, drive their business forward, and deliver their product lines more efficiently.
Develop new product features, explore emerging technologies, build and deploy machine learning models, work with large language models, create APIs and web services, collaborate cross-functionally, write maintainable code.
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