Top Remote Data Engineer Jobs in Seattle, WA
The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
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.
As a Senior Applied Scientist at Zillow, you will enhance search experiences using AI and ML techniques. Responsibilities include developing ranking models, utilizing language models for user queries, scaling systems for high search volume, and mentoring fellow scientists. You will also coordinate projects and keep up with AI advancements.
As a Principal Machine Learning Engineer, you'll define and execute advanced machine learning models to solve complex business problems, optimize practices for Unity's Ad platform, and lead the direction of machine learning strategies to enhance product performance.
The Educational Data Analyst/Engineer will engage with school district administrators to understand their data needs, design and develop customized metrics and dashboards, manage data integrations using SQL and Python, and ensure data quality and reporting effectiveness.
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
The Senior Data Developer will develop and maintain data solutions using Python and Azure Databricks, focusing on high-quality coding practices. Responsibilities include managing data infrastructure, cloud services, and troubleshooting within SCRUM/Kanban workflows while applying a DevOps mindset.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Data Engineer will manage the end-to-end data pipeline, focusing on data modeling, visualization, and quality. Responsibilities include designing processes for operational efficiency, mentoring junior analysts, and employing best practices to enhance data consistency, particularly in blockchain data contexts.
As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.
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