Top Tech Jobs & Startup Jobs

The Identity Management Software Developer will develop and support Identity and Access Management solutions, primarily using Java and SailPoint IdentityIQ. Responsibilities include managing code, customizing identity tools, troubleshooting system issues, and enhancing workflows. The role also involves interfacing with business units to onboard applications and ensure adherence to security best practices.

The job involves building advanced analytical and predictive models to solve strategic business issues, identifying opportunities through data, and managing data quality. Responsibilities include data analysis, segmentation, and web solution development for data collection and visualization.

The position involves developing expertise in Workday Extend, providing production support, coordinating business solutions, enhancing Workday Extend apps using various technologies, and ensuring alignment between local HR and global HR initiatives, while managing multiple tasks and stakeholders.

The HR/Payroll Applications Developer will gather and analyze requirements, design and develop data integrations and applications using HTML, JavaScript, Oracle PL/SQL, and UNIX. The role involves supporting HR and Payroll integration projects, ensuring robust project delivery through Agile and Waterfall methods, and developing relationships with the HR Digital team.

As a .NET and Angular Full-Stack developer at Pratt & Whitney, you will develop and maintain high-quality web applications, design user-friendly interfaces, implement best practices for code quality, and troubleshoot issues. You will work on integrating solutions within the DW2W2C portfolio and support aftermarket operations globally.

The PLM Principal Specialist is responsible for managing global PLM requirements, collaborating with engineering and interdisciplinary teams, overseeing PLM application management, and leading the development of PLM strategies and roadmap. This role requires strong communication skills and the ability to build relationships across teams while providing technical expertise and ensuring performance of PLM systems.

Collect and analyze complex datasets, turn data into actionable insights, use statistical techniques to find trends, improve efficiency, develop processes and tools to monitor data, deliver scalable insights, collaborate with teams, stay up-to-date on technologies, and build new skills in data engineering.