Senior Data Engineer
- Company
- LendingTree
- Location
- United States
- Salary
- 100 000–130 000 $/yr
- Posted
- 2026-10-14
Skills: ETL, SQL, Snowflake, MS SQL, dbt, Python, PowerShell, Git, GitLab, CI/CD, Power BI, Tableau, Claude
Candidates must be legally authorized to work in the United States. LendingTree and its affiliates (“LendingTree”) will not provide or assume sponsorship for employment visas for this position, now or in the future.
The Opportunity As a Data Engineer at LendingTree, you’ll build the pipelines, models, and data services behind reporting, analytics, and data science across our lending and insurance businesses. You’ll tackle complex integration and modeling challenges, improve reliability and cost efficiency, and apply practical AI tools to help the team deliver better data solutions faster.
How You’ll Make an Impact
• 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. Perform complex data analysis to validate business rules, identify trends and anomalies, and uncover opportunities. • Own the reliability and efficiency of your data solutions: automate quality checks, monitor freshness, tune performance and compute costs, and participate in the on-call rotation to resolve incidents and prevent recurrence. • Create reusable frameworks and development patterns that improve delivery speed and consistency. Apply automated testing, code review, and repeatable deployments; maintain technical standards, runbooks, and learning…
Full text and application on the employer's site.