Top Data Engineer Jobs in Seattle, WA
The Staff Engineer, Data Analyst will engage in data modeling, dashboard creation, and report generation using Power BI and SQL. The role requires a strong understanding of cloud services and databases and is suitable for candidates with significant IT industry experience.
The Oracle Database Engineer will design, develop, and optimize PL/SQL code, ensure database performance and security, deploy applications in Unix/Linux environments, and automate tasks with shell scripts. They will collaborate with teams to customize PLM solutions and integrate them into enterprise systems, while troubleshooting issues and maintaining the development environment.
As a Big Data Engineer, you will lead the technical planning for data migration, design and implement data pipelines, ensure data quality, and provide technical support within a collaborative analytics team.
The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.
The Structural Engineer/Analyst will analyze various types of structures and systems, support engineering requirements, and contribute to the design of small modular reactors (SMR). Responsibilities include conducting finite element analyses, reviewing designs, preparing documentation, and ensuring compliance with engineering and licensing standards.
The Principal Analytics Engineer at Nike will design and implement advanced cyber security data systems, ensuring best practices in data handling and security measures. Responsibilities include overseeing a big data analytics platform, enhancing performance metrics, and guiding junior team members on data reporting and visualization tools, while addressing security and compliance issues.
The Data Engineer will design and implement data products, collaborating with team members on architecture for processing large data volumes. Responsibilities include building distributed data processing pipelines, evaluating new technologies, and improving data quality through automated routines and tests.
The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.
As a Contract Fax Filing & Data Accuracy Specialist, you will review and file incoming patient care faxes accurately, log care gaps, and ensure compliance with healthcare standards. This role is crucial for maintaining up-to-date patient records and supporting continuity of care in a clinical setting.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.
As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.
As a Quality Engineer, you'll assist in monitoring product and process quality, investigate quality issues, and coordinate improvement initiatives using data analysis. You will measure performance through KPIs, maintain dashboards, analyze trends, and ensure data integrity in a cross-functional environment.
The Head of Data Analytics will develop the analytics strategy, collaborate with product and data engineering teams, create core metrics and insights, lead tooling improvements, and mentor the analytics team to enhance capabilities and effectiveness.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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