Senior Data Engineer: Scalable Pipelines & AI-Driven Analytics

Software

United States

Remote

USD 100,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

LendingTree is seeking a Data Engineer to build and operate scalable data pipelines, models, and services powering reporting, analytics, and data science across lending and insurance businesses. You will improve reliability, optimize costs, and apply AI tools to accelerate delivery.

You’ll design data warehouses, implement ETL/ELT, and partner with analytics, product, and operations to meet business needs. Strong SQL, data modeling, and Agile practices are essential.

Qualifications

  • 5+ years hands-on data engineering experience including warehousing and ETL/ELT
  • Advanced SQL writing, tuning, and debugging complex queries
  • Experience designing data lakes and warehouses on scalable platforms
  • Strong dimensional modeling and warehousing practices
  • Ability to deliver with minimal guidance in Agile teams; testing and documentation
  • Clear written, verbal, and data presentation skills

Responsibilities

  • Build and operate scalable batch and real-time data pipelines and ETL/ELT workflows
  • Design dimensional models and reusable datasets for analytics and data science
  • Own reliability, efficiency, monitoring, and cost optimization of data solutions
  • Create reusable frameworks and automated tests; maintain standards and runbooks
  • Collaborate with business and engineering to clarify requirements and roadmap
  • Apply AI tools to development, testing, documentation, and troubleshooting while validating results

Skills

Advanced SQL
Data warehousing
ETL/ELT development
Analytics
Agile practices
Problem solving

Education

BS in Computer Science or Mathematics
Equivalent practical experience

Tools

Snowflake
Matillion
dbt
Python
C#
PowerShell
Git/GitLab
Power BI/Tableau/Streamlit

Job description

LendingTree is seeking a Data Engineer to build and operate scalable data pipelines, models, and services powering reporting, analytics, and data science across lending and insurance businesses. You will improve reliability, optimize costs, and apply AI tools to accelerate delivery.

You’ll design data warehouses, implement ETL/ELT, and partner with analytics, product, and operations to meet business needs. Strong SQL, data modeling, and Agile practices are essential.

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