Senior Data Engineer at LendingTree - Fintech

LendingTree; United States; Remote; USD 100,000 - 130,000; Full time

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 Senior Data Engineer to build scalable pipelines, models, and data services across lending and insurance analytics. Production-grade data platforms and practical AI tooling drive fast, reliable solutions.

You’ll own ETL/ELT workflows, design dimensional models, and collaborate across analytics, data science, product, and engineering teams to improve reliability and cost efficiency while delivering business insights.

Qualifications

• 5+ years hands-on data engineering, warehousing, ETL/ELT, and analytics in production
• Advanced SQL skills with performance tuning and data analysis
• Experience designing data lakes and warehouses on scalable platforms with batch/streaming integration
• Strong dimensional modeling, grain/facts/dimensions, and historical representation
• Ability to work in an Agile team with testing, documentation, and CI/CD processes
• Clear written and verbal communication for business and technical audiences

Responsibilities

• Build and operate scalable batch and real-time pipelines and ETL/ELT workflows across multiple lines of business
• Design dimensional models and reusable datasets for analytics and data science needs
• Own data solution reliability: automate quality checks, monitor freshness, optimize costs, participate in on-call rotation
• Create reusable frameworks and patterns to improve delivery speed and quality with testing and deployments
• Partner with business and engineering teams to clarify requirements and contribute to the data engineering roadmap
• Apply AI tools to development, testing, documentation, and troubleshooting while validating results

Skills

Snowflake

dbt

Matillion

Dimensional modeling

AI-assisted tooling

On-call reliability ownership

Education

B.S. in Computer Science or equivalent

Tools

Python

C#

PowerShell

Git/GitLab

Power BI

Tableau

Job description

Senior Data Engineer at LendingTree - Fintech in Athens

This is a mid-to-senior level Data Engineer role (5+ years required) at an established US fintech marketplace. The $100K–$130K base is at or slightly below market for senior data engineers in the US — Glassdoor and Levels.fyi show comparable roles averaging $130K–$160K at similar-stage companies — though the annual bonus adds meaningful upside.

Skills you'll build here are highly marketable:

• Snowflake expertise (one of the most in-demand data warehouse platforms)
• dbt/Matillion for modern ELT transformation pipelines
• Dimensional modeling and data warehouse architecture
• AI-assisted engineering workflows (Claude Code, Codex, Cursor) — a fast-growing differentiator
• Production reliability ownership (on-call, monitoring, incident response)

Green flags: LendingTree is a publicly traded company (TREE) with a stable fintech brand. The role offers clear ownership, cross-functional visibility (analytics, data science, product, business), and explicit encouragement to apply AI tooling — signaling a forward-thinking engineering culture. The "GSD Award" and collaborative tone suggest a results-oriented, non-bureaucratic environment.

Yellow flags: The compensation range skews slightly conservative for the experience required. The on-call rotation is real and ongoing. The description doesn't mention explicit remote/hybrid policy or career ladder details, so candidates should ask directly about promotion paths and remote flexibility during interviews.

Overall, this role suits an engineer who wants to deepen Snowflake/dbt expertise in a production-scale fintech environment and build toward a Staff Engineer or Data Architect trajectory.

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 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 to development, testing, documentation, and troubleshooting. Validate generated code and results, protect sensitive data, and assess whether these tools improve quality and reduce delivery time.

Who You'll Work With

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

What You'll Bring

• 5+ years of hands-on experience in data engineering, including data warehousing, ETL/ELT development, and analytics, with a record of delivering and supporting production solutions.
• Advanced SQL skills, including writing, tuning, and debugging complex queries and using data analysis to investigate problems.
• Experience designing data lakes and warehouses on scalable, distributed platforms, with an understanding of batch and streaming integration patterns.
• Strong dimensional modeling skills and sound data warehousing practices, including defining grain, fact and dimension tables, and how historical changes are represented.
• 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 the ability to understand business needs and explain findings and technical decisions through documentation, presentations, or dashboards.

What Will Help You Thrive
You're curious about the business behind the data, learn new tools thoughtfully, communicate issues early, and share both credit and lessons learned. Experience in any of the following is a plus:

• Snowflake virtual warehouses, performance and cost tuning, Streams and Tasks, and/or SQL Server.
• Matillion, dbt, or similar tools for data integration and transformation.
• Python, C#, or PowerShell for integration and automation; Git/GitLab for collaboration and CI/CD workflows.
• Power BI, Tableau, or Streamlit for dashboards, data applications, and communicating insights.
• Using AI-assisted development tools such as Claude Code, Codex, Cursor, or Maia to accelerate coding, testing, documentation, and troubleshooting while validating generated code and results.
• B.S. in Computer Science, Mathematics, or a related field, or equivalent practical experience.

What Success Looks Like

• Production pipelines meet agreed freshness and reliability targets, with clear monitoring, ownership, and recovery procedures.
• Business, analytics, and data science partners use tested models with consistent definitions and less manual reconciliation.
• Query tuning and pipeline improvements produce measurable reductions in runtime, compute cost, or recurring incidents.
• Reusable frameworks, useful documentation, and validated AI workflows shorten delivery time while maintaining quality.

Life at LendingTree

We're a collaborative, entrepreneurial team that's curious, creative, and always ready to roll up our sleeves and get things done. You'll work alongside smart, driven people who care about doing great work — and about helping each other succeed.

We believe the best ideas come from different perspectives, and we're committed to creating a workplace where people feel welcomed, valued, and empowered to make an impact. You'll have the trust and flexibility to do your best work, the opportunity to take ownership and try new things, and teammates who genuinely enjoy working together.

And while we work hard, we don't take ourselves too seriously. We celebrate wins, recognize great work (our GSD — Get Stuff Done — Award is a fan favorite), and make time to have some fun along the way.

Come grow with us, make an impact, and help us build what's next.

What We Offer

We want you to feel supported at work and beyond. Our benefits and programs are designed to help you stay healthy, recharge, plan for the future, and bring your best to whatever matters most to you.

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

Base Pay:
The base pay range for this position is $100,000–$130,000; pay offered may vary based on location, internal factors, job-related knowledge, skills, and experience.

Incentive Compensation: This position is eligible for an annual performance bonus.

Work Authorization: This role is not eligible for immigration sponsorship. Please do not apply for this role if you will need employer sponsorship now or in the future to begin or continue employment.

Everyone Belongs Here

LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.

If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please email us at [e-mail] .

Is this Data Engineer role fully remote? The posting does not explicitly state fully remote or hybrid; it mentions flexibility and trust in how employees do their best work. Candidates should confirm the exact remote policy during the interview process. An on-call rotation is required, so reliable availability is expected. What is the salary range for this position? The base pay range is $100,000–$130,000 annually, with variation based on location, experience, and skills. The role is also eligible for an annual performance bonus. Will LendingTree sponsor a work visa for this role? No. Candidates must already be legally authorized to work in the United States. LendingTree will not provide immigration sponsorship now or in the future for this position. What technologies and tools does this role use? Core tools include Snowflake, SQL, Matillion or dbt, Python/C#/PowerShell, and Git/GitLab. Experience with Power BI, Tableau, Streamlit, and AI coding tools such as Claude Code or Cursor is a plus. What level of experience is required for this Data Engineer role? LendingTree requires 5+ years of hands-on data engineering experience, including production ETL/ELT development, data warehousing, and analytics. Agile team experience and strong SQL skills are essential.

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