Top Data Engineer Jobs in Seattle, WA
As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.
The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.
The Senior Database Engineer will design, implement, and maintain database systems, optimize performance, ensure data security, and provide high availability solutions. Responsibilities include developing schemas, tuning databases, monitoring performance, and collaborating effectively with team members and stakeholders.
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