Top Python Jobs in Portland, OR

The Data Architect - Director will lead the design and implementation of data architecture strategies, driving innovation and collaborating with stakeholders to meet business needs while ensuring compliance with data governance.

As a Senior Manager, lead data strategy alignment for clients, manage cloud data architecture projects, and support teams in solving complex business issues.

As a Director, you'll lead the development of data solutions using Palantir Foundry, mentoring teams and driving business growth through advanced data engineering.

The Cloud FinOps Analyst will analyze cloud costs, develop financial models, and collaborate with teams to optimize infrastructure spending.

The Enterprise Solutions Engineer will lead technical discussions, overcome objections, and support Fortune 500 companies in deploying Verkada products effectively while traveling frequently for engagements.

The Compliance Technology and Data Manager will enhance compliance controls, manage data integrity, develop dashboards, and lead model testing and validation efforts for a financial technology company.

Lead and manage a team of data engineers, focusing on data architecture, pipeline development, and collaboration with analytics teams to enhance data-driven decision-making.

Develop ML force fields for life and materials sciences, managing data sets, improving software accuracy, and communicating results with the team.

Lead and mentor teams to develop and deploy data solutions using Palantir Foundry, ensuring project success and client satisfaction.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

Lead the design and execution of data architecture strategies, mentor team members, enhance cloud resources, and drive innovation in data integration solutions.

The role involves designing data architecture, implementing data solutions, mentoring team members, and collaborating with stakeholders to convert data requirements into actionable insights.

Lead the design and implementation of data architecture strategies while collaborating with stakeholders and ensuring compliance with governance and security protocols.

The role involves developing data and analytics strategies for clients, migrating data to cloud environments, and aligning data strategies with business goals.

The QA Specialist will design and execute test plans for video applications, collaborate with teams, develop test scripts, and document quality metrics.

You will lead a team of engineers, drive technical excellence, and deliver scalable software solutions while mentoring staff and fostering team culture.

Develop and maintain MLOps services, manage cloud infrastructure, lead software solutions for machine learning, and collaborate with cross-functional teams.

The Application Security Engineer will assess and mitigate security vulnerabilities, collaborate with teams, and advance LAIKA's security methodologies and tools.

Design and deliver developer sprints focused on GitHub Copilot and Amazon Q, mentoring developers and promoting responsible AI usage.

The role involves supporting Nike's Innovation Lab by developing athlete-facing experiences, including designing web services and applications, while collaborating with peers in an agile environment.

As a Data Scientist, you will drive data-driven decisions, lead A/B experiments, integrate insights into strategies, and enhance operational efficiency.

As a Data Engineer, you will design and build scalable data pipelines, unify data sources, develop ETL frameworks, and collaborate with teams to deliver client-centered solutions.

The role involves providing technical support for ASIC physical design, collaborating with teams, improving design quality, and delivering training to customers.

Drive timing analysis and closure of GPUs, CPUs, and SoCs. Improve timing convergence flows and interact with cross-functional teams.

Manage and build a team to enhance engineering solutions in capacity management and infrastructure while ensuring high performance across cloud environments.