Top Hybrid Data & Analytics Jobs in Seattle, WA

As a Data Engineer, you will develop scalable ETL pipelines, manage data warehousing solutions, and ensure data integrity. The role involves collaborating with various stakeholders, optimizing data processes, implementing data security practices, and communicating complex projects effectively to non-technical stakeholders.

The Senior Manager will oversee data quality and compliance for specialty pharmacies, ensure effective collaboration among stakeholders, and lead analytics initiatives in alignment with Pfizer policies. Responsibilities include managing projects, collaborating on product launches, and analyzing program data to enhance effectiveness and improve patient experiences.

As a Data Engineer II at Chewy, you will design, develop, and maintain data pipelines, tackle complex data issues, develop data products for analytics, and mentor team members. You will also evaluate and implement emerging analytics tools, communicate data engineering standards, and collaborate with business partners to meet data needs.

As a Principal Software Engineer in the Data Platform Group, you will develop scalable data solutions, lead architecture sessions, mentor team members, and collaborate across teams to optimize data operations and integrate emerging technologies. You will also focus on enhancing data analysis through GenAI technologies and ensure the high-quality construction of data pipelines using modern tools and best practices.

The Account Receivables Analyst at Hiya will oversee invoicing and collections processes, manage general ledger activities, and ensure compliance with internal controls. Responsibilities include reviewing contracts, setting up billing, preparing AR aging reports, managing customer inquiries, and executing process adjustments for efficient collections.

In this role, you will develop and maintain machine learning algorithms for personalization on Hulu's platforms. You'll work with engineering and product teams to optimize processes and explore innovative methods for recommendations. Your responsibilities include algorithm development, feature engineering, maintaining deployment standards, and collaborating on new personalization opportunities.

Lead Data Engineer at GoodRx will collaborate with cross-functional teams to build robust data pipelines, enhance infrastructure, and ensure system reliability. The engineer will also provide mentorship, improve tooling, document processes, and handle system upgrades while driving data-informed decisions.