Top Scala Jobs in Phoenix, AZ

The Staff Threat Management Engineer will lead the Threat Management program, coordinating incident response activities and applying advanced cybersecurity knowledge to detect and defend against information threats. Responsibilities include delivering innovative solutions, analyzing complex security events, and promoting collaboration among team members.

As a Staff Software Engineer at Helix, you will enhance data infrastructure for clinicogenomics datasets, drive data management strategy, collaborate with cross-functional teams, mentor colleagues, and ensure best engineering practices while owning systems from development to production.

As a Senior Software Engineer, you will lead data engineering efforts, build scalable data pipelines, ensure data quality, and collaborate with product teams and data scientists. Responsibilities include managing datasets, mentoring engineers, and serving as a liaison between teams. Your role emphasizes adaptability, curiosity, and expertise in big data fundamentals.

The Software Engineer will design and implement CLI and backend services, maintain code quality, collaborate with team members to resolve technical issues, and write technical documentation. They will work on dependency management and data processing while collaborating with a global remote team.

As a Backend Engineer at LaunchDarkly, you'll build and expand feature management products, design and implement APIs, and enhance system performance. Responsibilities include collaborating on user-facing features, writing tests, participating in code reviews, and improving engineering standards in a communicative team environment.

The Staff Software Engineer will design, develop, and maintain scalable web applications using Ruby on Rails, write clean and efficient code, collaborate with teams for project requirements, and participate in code reviews. They will also troubleshoot application issues and assist in deploying applications in production environments.

The Databricks Technical Lead will design, implement, and optimize data processing workflows using the Databricks platform. This role includes leading a team of data engineers and data scientists, ensuring high-quality solutions meet business needs, and optimizing big data tasks. Responsibilities include architecture design, mentoring, performance optimization, collaboration, and project management.