Top Senior Level Data Engineer Jobs in Seattle, WA
Join Chewy as a Data Engineer II on the Transportation Systems team. Own the design, development, and maintenance of enterprise data pipelines, create data products for analytics, and lead the evaluation of emerging tools and processes for analytics. Requires 5+ years of experience and expertise in data engineering with skills in Python, SQL, Spark, and more.
The Senior Data Engineer at ServiceNow is responsible for enforcing data policies, developing ETL/ELT jobs, identifying data integrity issues, training analysts and data scientists on data sources, and collaborating across data teams to meet analytics deliverables. The role requires 5 years of experience in consulting, business intelligence, and analytics, strong problem-solving skills, experience with big data instances, and proficiency in PL/SQL and Python.
Build and lead a team of data scientists to partner with marketing, sales, and product teams to optimize marketing strategies, grow revenue, and launch high-impact initiatives. Develop predictive models, automate reporting, analyze marketing performance, and drive data-informed decision-making for a SaaS company.
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Develop data infrastructure for data scientists and ensure efficient development of care gap and HCP prioritization models. Partner with product manager and data lead to develop technical architectures for analytical models. Enhance data infrastructure for greater scalability and optimize data delivery.
Design, develop, and maintain scalable solutions for metrics, reports, and analyses. Translate business problems into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, and troubleshoot data-quality issues. Review and recommend improvements for backend data sources.
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
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.
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