Senior Data Engineer

🕒 October 14

🇺🇸 United States – Remote

💵 $100k - $130k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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LendingTree

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

💼 Consulting

🛡️ Insurance

💸 Finance

Consulting • Insurance • Finance

LendingTree is an online marketplace that connects consumers with a wide range of financial service providers. The platform allows users to compare loan products such as personal loans, student loans, business loans, mortgages, and auto loans from multiple lenders. Additionally, LendingTree offers credit cards and insurance product comparisons. Through their comprehensive database, LendingTree helps users find competitive rates and tailored financial solutions. With the ease of a single application, users can receive offers from various creditors, enabling more informed decision-making. The platform emphasizes user privacy and security while providing educational resources to aid in financial growth and credit score improvement.

📋 Description

• 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

🎯 Requirements

• 5+ years of hands-on experience in data engineering, including data warehousing, ETL/ELT development, and analytics • Advanced SQL skills, including writing, tuning, and debugging complex queries • Experience designing data lakes and warehouses on scalable, distributed platforms • Understanding of batch and streaming integration patterns • Strong dimensional modeling skills and sound data warehousing practices • Ability to deliver projects with minimal guidance in an Agile team • Experience with testing, version control, documentation, and systematic troubleshooting • Clear written, verbal, and data presentation skills • Candidates must be legally authorized to work in the United States • Must not require 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 a plus • S. in Computer Science, Mathematics, or a related field, or equivalent practical experience is a plus

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) matching • Generous time off • Wellness programs and resources • Annual performance bonus eligibility • Trust and flexibility to do your best work • Opportunity to take ownership and try new things • GSD (Get Stuff Done) Award recognition

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