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LendingTree · 1 day ago

Data Engineer

Seattle, WA

Full-time

Hybrid

Senior Level

$105K/yr - $125K/yr

5+ years exp

QuoteWizard by LendingTree is seeking a Data Engineer to join their Data Engineering team. The role involves building streaming data pipelines and implementing solutions to meet critical data and analytic-related business needs using cloud data tools and platforms.

Commercial LendingCreditCredit CardsE-CommerceFinanceFinancial ServicesFinTechLendingMarketplaceMobile Apps

No H1B

Responsibilities

Create real-time streaming data solutions

Implement large scale, high-performance data analytics, and data integration platforms

Design and develop ETL solutions

Design and develop frameworks and other approaches for rapid development of high-quality data and reporting solutions

Perform complex data analysis to identify trends, patterns, and opportunities

Design, develop, and support database applications spanning multiple lines of business

Consult on database design and code reviews across the organization as needed

Evaluate performance and perform appropriate troubleshooting as necessary

Work with business users to understand project requirements and resolve issues

Craft and maintain technical documents including educational materials, standards, and best practices

Participate in on-call rotation for off-hours support

Collaborate effectively across various departments and teams to implement solutions

Collaborate on the product roadmap for data engineering to define capabilities of the platforms and services and delivery timelines

Qualification

Data warehousingETL developmentSQL optimizationData lakesData visualizationAgile methodologiesLearning new toolsCommunication skillsTeam collaborationProblem-solvingTechnical documentation

Required

5+ years of experience with highly scalable, distributed transactional platforms

5+ years of experience in data warehousing, and ETL development

Expert in SQL optimization, query writing, and debugging

Experience designing and implementing transactional databases, data lakes, and data warehouses

Knowledge of data warehousing industry standards and standard methodologies

Understand dimensional and transactional database modeling

Excellent data presentation skills, utilizing dashboards and other technologies

Excellent verbal and written communication skills

Design and implement projects with minimal guidance

Experience with Agile methodologies

Dedication to being a phenomenal teammate - sharing success and struggles equally

Experience collaborating with data and software engineers by sharing knowledge, pairing, mobbing, designing solutions together, and code reviewing one another's work

Passion for learning and implementing new tools and supporting standard methodologies