LendingTree operates an online financial marketplace where consumers can compare offers from lenders and other providers. Its platform covers personal, student, and business loans, mortgages, auto loans, credit cards, and insurance. By connecting people with multiple providers through a single application, LendingTree supports comparison of available options alongside educational resources on credit and personal finance. The company works across finance, insurance, and consulting.
Senior Data Engineer – LendingTree (Remote, US)
Build scalable data pipelines, models, and services supporting LendingTree’s lending and insurance businesses. Improve reliability, analytics, and delivery efficiency using practical AI tools.
Jungtinės Valstijos100 000 $ – 130 000 $ / metai
NuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinieriusAprašymas
- Build and maintain scalable batch and streaming data pipelines, ETL/ELT workflows, and database applications.
- Create dimensional models and reusable datasets for business, analytics, and data science teams.
- Analyze complex data to check business rules, spot trends and anomalies, and identify opportunities.
- Automate data quality checks, track freshness, and optimize performance and compute costs.
- Take part in on-call support, resolve incidents, and help prevent them from recurring.
- Develop reusable frameworks and consistent engineering patterns.
- Use automated tests, code reviews, and repeatable deployment practices.
- Keep technical standards, runbooks, and learning resources up to date.
- Work with business users and engineers to clarify needs and address issues.
- Help shape the data engineering roadmap, platform capabilities, priorities, trade-offs, and delivery estimates.
- Use and assess AI tools for development, testing, documentation, and troubleshooting.
- Coordinate with analytics, data science, product, business operations, platform, and infrastructure teams.
Reikalavimai
- At least five years of practical data engineering experience, including warehousing, ETL/ELT development, and analytics.
- Advanced SQL ability, including writing, tuning, and debugging complex queries.
- Experience designing data lakes and warehouses on scalable, distributed platforms.
- Familiarity with batch and streaming integration patterns.
- Strong dimensional modeling ability and sound data warehousing practices.
- Able to deliver projects with limited guidance in an Agile team.
- Experience with testing, version control, documentation, and structured troubleshooting.
- Clear written, spoken, and data presentation skills.
- Must be legally authorized to work in the United States.
- Must not need employer immigration sponsorship now or in the future.
- Snowflake, SQL Server, Matillion, dbt, Python, C#, PowerShell, Git/GitLab, CI/CD, Power BI, Tableau, Streamlit, and AI-assisted development tools are advantageous.
- A bachelor’s degree in Computer Science, Mathematics, or a related field, or equivalent practical experience, is advantageous.
Privalumai
- Medical, dental, and vision coverage.
- 401(k) matching.
- Generous paid time off.
- Wellness programs and resources.
- Eligible for an annual performance bonus.
- Flexibility and trust to do your best work.
- Room to take ownership and explore new ideas.
- Recognition through the GSD (Get Stuff Done) Award.