Jobs at LendingTree

• Support and improve endpoint platforms: Maintain and troubleshoot endpoint management solutions, including Microsoft Intune, Iru, and ManageEngine Endpoint Central, while supporting Windows, macOS, iOS, and Android devices.
• Automate endpoint management: Develop and maintain PowerShell and Python scripts and API integ...

• Own prioritized platform initiatives from discovery through launch, translating customer and business needs into requirements, user stories, and acceptance criteria.
• Manage the backlog for your initiatives, balancing user value, effort, and dependencies in partnership with engineering and product leadership.

• Help execute data science strategies and roadmaps, translating business objectives into analytical solutions and AI/ML models.
• Design, develop, and deploy predictive models, machine learning algorithms, and AI solutions.

• Lead, mentor, and develop a team of data scientists, fostering technical excellence, growth, and scientific rigor.
• Partner with senior stakeholders to identify and prioritize the opportunities where machine learning and AI can deliver the most value.

• Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications across multiple lines of business, with clear plans for schema changes, retries, and recovery.
• Design dimensional models and reusable datasets for business, analytics, and data science needs...

• Analyze product specifications and complex software systems to develop test strategies that address risks and gaps.
• Design, build, and maintain scalable test automation using Playwright and C#, expanding coverage across web applications, APIs, and backend systems.

• Develop complex algorithms to solve business needs (e.g. how to identify the best opportunities for customers to save money on existing loans.)
• Work hand-in-hand with the business to find the best ways to solve problems (one day you could be improving the robustness of backend integrations, the next you might be developing functionality that provides complex analytics for the business.)

• Lead a multi-team engineering organization; own the roadmap, guide architecture, and delivery across your portfolio of consumer-facing products and platforms.
• Set technical direction and engineering standards — architecture, code quality, testing, observability, and operational excellence — and raise the bar on craft and velocity.

• Lead, coach, and develop a team of software engineers through regular feedback, mentoring, and career development planning.
• Foster a high-performance engineering culture focused on ownership, collaboration, inclusion, and continuous learning.

• Drive and manage key initiatives across various lending products
• Collaborate with internal teams to effectively project manage tasks simultaneously

• Work very closely with Data Platform & Operations team, Data Architecture & Automation leads, Data Engineers & the broader data/analytic community to:

Define target state architecture for LendingTree’s Cloud Data Platform starting with Marketing domain data sources.
Define best practices pertaining to the capture of metadata, data governance, data security within Cloud Data space