Your one-stop shop for loan comparison
LendingTree, headquartered in Charlotte, North Carolina, is a leading online marketplace for loans, connecting consumers with multiple lenders to facilitate comparison shopping. With over 50 million customers served, LendingTree offers a range of financial products including personal loans, mortgage...
Employees enjoy competitive salaries, stock options, generous PTO policies, and a flexible remote work policy. Additionally, LendingTree provides a we...
LendingTree fosters a customer-centric culture with a strong focus on transparency and innovation in the fintech space. The company values data-driven...
LendingTree • Seattle, Washington, United States
LendingTree is seeking a Data Engineer to join their Data Engineering team. You'll build real-time data solutions and implement high-performance data analytics using tools like Snowflake and Matillion. This role requires experience in data integration and analytics.
You have a solid background in data engineering with experience in building streaming data pipelines and implementing large-scale data solutions. You are familiar with cloud data tools and platforms, particularly Snowflake and Matillion, and understand how to leverage these technologies to support analytics and machine learning initiatives. You possess strong analytical skills, allowing you to perform complex data analysis to identify trends and patterns that inform business decisions. You are a collaborative team player, eager to partner with various stakeholders including software engineers, analysts, and senior leaders to develop solutions that meet critical business needs.
Experience with data integration platforms and frameworks for rapid development of high-quality data solutions is a plus. Familiarity with CRM platforms and their data requirements will enhance your ability to contribute effectively to the team.
As a Data Engineer at LendingTree, you will be responsible for creating real-time streaming data solutions that support the company's data strategy. You will design and develop ETL solutions that integrate data from various sources into a cohesive data lake and warehouse. Your role will involve implementing high-performance data analytics platforms that enable the analytics and machine learning teams to derive insights and drive business strategies. You will also be tasked with performing complex data analysis to identify trends and patterns that can influence customer journeys across multiple CRM platforms. Collaboration with business and technology architects will be key as you work to develop and implement solutions that meet critical data-related business needs.
LendingTree promotes a hybrid work environment, allowing you to work three days in the Seattle office and two days remotely. We value diversity and inclusion, fostering a workplace where all employees can thrive. This is a full-time opportunity with a focus on building a solid data foundation that supports our analytics and machine learning efforts. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives.
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