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Top Hybrid Data & Analytics Jobs in Seattle, WA
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Decision Analytics Consultant, you will leverage your quantitative skills and advanced data analytics to address client business questions, develop data-driven solutions, and communicate findings effectively. You'll work collaboratively with clients to understand their needs and analyze relevant data to support their goals.
Top Skills:
RSASTableauVBA
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Data Engineer, you will work with cross-functional teams to develop scalable ETL pipelines, manage data warehousing solutions, ensure data integrity, and implement security practices for data handling. You'll own parts of the team roadmap and communicate complex technical projects to stakeholders.
Top Skills:
JavaPythonScalaSQL
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
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.
Top Skills:
Python
Featured Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Google Cloud Data Engineer at PwC will design and implement data architecture, develop data pipelines, and lead projects utilizing Google Cloud services. The role involves mentoring and coaching team members while ensuring data governance and compliance, and managing client relationships effectively.
Top Skills:
DatabricksGoogle Cloud PlatformHadoopKafkaQuickbaseSnowflakeSparkSQLTerraform
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Machine Learning Engineer II, you will design and deploy advanced AI solutions for HR, mentor junior team members, and ensure the scalability and business alignment of AI products. Responsibilities include unstructured data analysis, collaborating with data scientists, productionizing research, and monitoring AI models.
Top Skills:
Python
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech
Lead a dynamic research team to enhance a 3D organoid CRISPR-based screening platform. Develop methodologies for high throughput evaluations, streamline insights generation through bioinformatics, and foster partnerships for innovative oncology models.
Top Skills:
Crispr
Fintech • Mobile • Software • Financial Services
As a Staff Data Engineer, you will design and develop scalable data architectures and pipelines to support data ingestion and processing. You will collaborate with cross-functional teams, enforce data governance, and ensure data integrity and security practices are in place. Your role requires a strong understanding of data engineering and analytical techniques in a fast-paced environment.
Top Skills:
Python
Fintech • HR Tech
As a Staff Data Analyst, you will leverage data to drive strategic decisions, work closely with various teams, and ensure data quality and integrity. Your responsibilities include data analysis, reporting, collaboration with stakeholders, and developing visualizations while maintaining dashboards to communicate insights effectively.
Top Skills:
SQL
AdTech • Digital Media • News + Entertainment
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.
Top Skills:
Python
Healthtech • Professional Services • Software • Analytics • Biotech • Consulting • Automation
The Senior Analyst role involves supporting project teams through tasks such as documenting project requirements, creating process maps, developing project management artifacts, coordinating meetings, and maintaining client service delivery. The analyst also aids in business development activities and contributes to team dynamics while pursuing diverse project experiences.
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