Top Hybrid Data Engineer Jobs in Seattle, WA
This Machine Learning Engineer role at Cash App involves building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to understand customer behavior, enhance security measures, and improve financial services. The position requires working closely with product teams and leveraging data to create innovative solutions.
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.
As a Senior Data Engineer at Disney Entertainment & ESPN Technology, you will be responsible for designing, installing, configuring, and supporting business intelligence environments using tools like Looker, Tableau, and MicroStrategy. You will work closely with data engineering to create data models, troubleshoot performance issues, monitor system health, and provide updates to stakeholders.
Research, design, and build high-impact end-to-end machine learning systems for customer growth
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Senior Data Engineer role at Assurance IQ, an insurtech company headquartered in Seattle. Responsible for building software tools to move and organize data, design and build data models, work in a dev ops oriented team environment, and use various data tools and technologies. Must have expertise in Python, SQL, and Spark, with a degree in mathematics, statistics, data science, or related field.
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.
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.
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