Top Tech Jobs & Startup Jobs

The FOQA Engineer analyzes flight data to support safety and quality assurance initiatives. Responsibilities include data collection from flight data recorders, developing automated tools for real-time data assessment, collaborating with teams for accurate data management and compliance, and generating reports to document work outcomes.

The Application Operations Engineer is responsible for deploying, monitoring, and maintaining critical applications, ensuring optimal performance and reliability. Responsibilities include incident management, automation of processes, and collaboration with development and infrastructure teams to streamline application operations.

The Lead Accountant will oversee investment accounting and reporting, ensuring effective internal controls, maintaining reconciliations, and supporting GAAP and statutory financial reporting. Responsibilities include collaborating with internal teams and external providers, preparing financial disclosures, and fulfilling audit requests.

The Lead Specialist in Accounting Operations is responsible for ensuring accounting compliance and excellence in financial reporting. This role involves leading fixed asset processes, cash flow analysis, audit support, and process improvement initiatives. The specialist will also manage reconciliations and balance sheet corrections while partnering with finance teams to minimize financial risks and enhance operational performance.

As an Enterprise Application Engineer, you will develop and implement architectural solutions, analyze data, participate in governance, and mentor team members while focusing on custom CAD applications and infrastructure solutions.

The Sr Staff Enterprise Application Engineer will lead and coordinate PLM discussions, develop enterprise tools, evaluate technology trends, mentor teams, and ensure alignment between enterprise strategies and business goals, alongside hands-on POC development and application design.

As a Senior Data Scientist, you will develop and deploy machine learning models, evaluate their performance through experiments, and ensure data quality. You will work with large datasets, implement advanced computer vision techniques, and collaborate with cross-disciplinary teams to enhance data integration and analytics capabilities.