Data Engineer

LendingTree•Seattle, WA

31d•$105,000 - $125,000•Hybrid

About The Position

QuoteWizard by LendingTree is seeking a Data Engineer to join our Data Engineering team. We have an exciting opportunity to deliver a near real-time data lake and low-latency data warehouse using world class cloud data tools and platforms including Snowflake and Matillion. Data Engineering provides a solid data foundation for analytics and machine learning teams that drive business decisions and strategy that power customer journeys across multiple CRM platforms. We are seeking a data engineer who will be passionate about building streaming data pipelines, and will partner with our business, technology architects and operations, software engineers, analysts, data scientists, and senior leaders to develop and implement solutions to meet critical data/analytic related business needs and capabilities, while implementing technologies, platforms, and tools aligned to LendingTree’s data strategy.

Requirements

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.

Nice To Haves

B.S. in Computer Science, Mathematics or equivalent
Experience working with Snowflake
Experience with data visualization tools, such as Power BI
Experience working with modern ETL tools
Experience with scripting languages like PowerShell
Experience with programming languages such as Python, C#
Experience with Git/GitHub/GitLab
Experience with Azure Dev Ops/Jira

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.