Senior Data Engineer

Lending Tree is seeking a Senior Data Engineer to help build reliable data pipelines, dimensional models, and data services that support reporting, analytics, and data science across lending and insurance. This role is based in Seattle, WA and focuses on scalable batch and real-time ETL/ELT, operational excellence, and practical use of AI tools to improve development and troubleshooting.

• Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications across multiple lines of business, including plans for schema changes, retries, and recovery.
• Design dimensional models and reusable datasets for business, analytics, and data science, and perform complex data analysis to validate business rules, identify trends and anomalies, and uncover opportunities.
• Own the reliability and efficiency of data solutions by automating quality checks, monitoring freshness, tuning performance and compute costs, and participating in on-call to resolve incidents and prevent recurrence.
• Create reusable frameworks and development patterns to improve delivery speed and consistency, using automated testing, code review, and repeatable deployments; maintain technical standards, runbooks, and learning materials.
• Partner with business users and engineering teams to clarify requirements, resolve issues, and contribute to the data engineering roadmap, including platform capabilities, priorities, technical trade-offs, and delivery estimates.
• Apply AI tools in development, testing, documentation, and troubleshooting while validating generated code and results, protecting sensitive data, and evaluating whether these tools improve quality and reduce delivery time.

• 5+ years of hands-on data engineering experience, including data warehousing, ETL/ELT development, and analytics, with a track record of delivering and supporting production solutions.
• Advanced SQL skills for writing, tuning, and debugging complex queries, plus using data analysis to investigate problems.
• Experience designing data lakes and warehouses on scalable, distributed platforms, with knowledge of batch and streaming integration patterns.
• Strong dimensional modeling skills and sound data warehousing practices, including grain definition, fact and dimension tables, and representation of historical changes.
• Ability to deliver projects with minimal guidance in an Agile team, using testing, version control, documentation, and systematic troubleshooting to build maintainable solutions.
• Clear written, verbal, and data presentation skills, including understanding business needs and explaining findings and technical decisions through documentation, presentations, or dashboards.

• SQL, Snowflake, Streams and Tasks, SQL Server, Matillion, dbt, Python, C#, Power Shell, Git, Git Lab, Power BI, Tableau, Streamlit
• AI-assisted development tools:
  Claude Code, Codex, Cursor, Maia
• CI/CD

• Base pay: $100,000 - $130,000 per year (may vary based on location, internal factors, job-related knowledge, skills, and experience).
• Annual performance bonus: eligible for an annual performance bonus.
• Work authorization: this role is not eligible for immigration sponsorship. Please do not apply if you will need employer sponsorship now or in the future to begin or continue employment.

• Medical, dental, and vision insurance
• 401(k) matching
• Generous time off
• Wellness programs and resources
• Annual performance bonus eligibility

You will join the Data Engineering team and collaborate with your manager and fellow engineers, along with partners in analytics, data science, product, and business operations across Lending and Insurance. You will also work with platform and infrastructure teams to manage dependencies, support production services, and convert business priorities into practical data solutions.