Data Ops Engineer at LendingTree

LendingTree logo
LendingTree

Data Ops Engineer

us flag
United States

On-site

Full Time

#Technology

#Python

#C#

#Snowflake

#SQL Server

#Postgres

#Mongo

#MySQL

#AWS

#Azure

#CICD

LendingTree is looking for a Data Ops Engineer

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Since our founding in 1996 by Doug Lebda, LendingTree has grown into the leading online marketplace in the United States for consumers to compare financial products. We have helped millions of people navigate major life transactions, ranging from mortgages and personal loans to auto insurance and credit cards. As a publicly traded company that ranks among Fortune’s 100 fastest growing businesses, we pride ourselves on being a pro-consumer organization that values an entrepreneurial mindset. We are looking for high-energy professionals who are ready to challenge the status quo and help us continue our mission of saving our customers money.

About the Role

We are looking for a Senior Data Ops Engineer to join our team in a full-time capacity. In this role, you will be instrumental in managing our data infrastructure and ensuring our systems remain efficient, secure, and scalable. You will work closely with project teams to support our cloud and database environments while maintaining the high standards of reliability that our millions of users expect.

Key Responsibilities

  • Manage and maintain multiple database and cloud environments to support our business partners and project teams.
  • Monitor system performance and troubleshoot issues to ensure our databases and tooling remain operational.
  • Implement and uphold security best practices while managing user access and following established SDLC protocols for all code and database changes.

Requirements

  • At least 3 years of professional experience in database development.
  • A minimum of 3 years of experience working with Python or C#.
  • A degree in Computer Science or a related field.
  • Proficiency in at least two of the following technologies: Snowflake, SQL Server, Postgres, Mongo, or MySQL.
  • Experience with orchestration tools like Astronomer or Airflow.
  • Strong communication skills and a detail-oriented approach to documentation.
  • Bonus points for experience with AWS or Azure, CICD workflows, and data technologies like Kafka, Matillion, or DBT.

Location

This position is based in the United States and requires an on-site presence.

Compensation and Benefits

We offer a professional yet relaxed work environment where innovation and results are highly valued. Our team members are encouraged to take ownership of their work and contribute to our aggressive goals in a collaborative, fun atmosphere.

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LendingTree

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Company Size

501-1000

Markets

Lending
Credit
Credit Cards

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