LendingTree

Data Engineer

• Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications
• Design dimensional models and reusable datasets for business, analytics, and data science needs
• Perform complex data analysis to validate business rules, identify trends and anomalies, and uncover opportunities
• Automate quality checks, monitor data freshness, tune performance and compute costs
• Participate in the on-call rotation, resolve incidents, and prevent recurrence
• Create reusable frameworks and development patterns
• Apply automated testing, code review, and repeatable deployments
• Maintain technical standards, runbooks, and learning materials
• Partner with business users and engineering teams to clarify requirements and resolve issues
• Contribute to the data engineering roadmap, including platform capabilities, priorities, technical trade-offs, and delivery estimates
• Apply and validate AI tools for development, testing, documentation, and troubleshooting
• Collaborate with analytics, data science, product, business operations, platform, and infrastructure teams

Explore Senior Data Engineer at LendingTree. Review requirements and application details.