LendingTree

Charlotte, NC
501-1,000 employees
LendingTree helps you get the best deal possible on your loans. By giving consumers multiple offers from several lenders, we make comparison shopping easy.

Staff Data Engineer

Staff Data Engineer

This job is no longer open

Position:

LendingTree is seeking a Data Engineering lead to join our Data Lake/Data Warehouse team. We have an exciting opportunity to develop and scale enterprise services that powers our business analytics and reporting across multiple verticals. This individual will partner with architecture, platform and operations, enterprise data and analytic teams and other senior technical leaders to develop and implement a consolidated roadmap to meet critical data/analytic related business needs and capabilities while implementing technologies, platforms and tools aligned to LendingTree’s data strategy. We are seeking a data lead who will be passionate about data engineering and working with partners across Marketing, Product, Data Science, Analytics, Contact Center and Technology to deliver on enterprise data initiatives. Please consider joining the team if you’d like to work in a dynamic, business critical environment and want to have an impact on several vital business capabilities.

 Key Responsibilities:

  • Work very closely with Data Platform & Operations team, Data Architecture & Automation leads, Data Engineers & the broader data/analytic community to:
    • Define target state architecture for LendingTree’s Cloud Data Platform.
    • Define best practices pertaining to the capture of metadata, data governance, data security within Cloud Data space
  • Create real-time streaming data pipelines for multiple sources and data types
  • Define and oversee implementation and execution for the Operational Cloud Data Lake including data migration patterns from SQL and other data stores along with developing access control and security playbook
  • Key contributor to and member of the data lake / data warehouse Agile Scrum team and active participant in Enterprise Cloud Data initiatives
  • Provide mentorship and train staff on standards and policies around data engineering best practices including technical documentation
  • Develop, and support data lake / data warehouse platform and data service applications spanning multiple data domains
  • Participate in on-call rotation for off-hours support
  • MUST assist as an individual contributor to an Agile Development Team (e.g., developing solutions to achieve defined business outcomes).

Must have Requirements:

  • B. S. in Computer Science or equivalent.
  • 5+ years of experience in Modern Data Platform Management and Lifecycle
  • Expert level experience & knowledge on Cloud Data Warehouse like Snowflake, Redshift, or BigQuery
  • Strong Experience with Real-Time Tools – Open-source Kafka, Confluent
  • Extensive experience with modern ETL tools like –DBT, Fivetran, Stitch, Talend
  • Proficient in AWS technology stack like Managed Airflow, AWS Glue, AWS Glue Crawler, EMR, Athena, Lambda, EC2 etc.
  • Ability to design, lead, implement & support data integration projects with minimal oversight
  • Experience with NoSQL Databases like MongoDB, MongoDB Atlas, AWS DynamoDB,
  • Experience using data governance and data quality tools like Collibra, Alation, DataBuck, Soda, OwlDQ
  • Experience with SQL databases like PostgreSQL, MSSQL
  • Experience in building, supporting & optimizing cloud infrastructure resources
  • Excellent verbal and written communication skills
  • Expertise in at least 1 programming language python or Scala

Additional Experience Preferred:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), AWS Sagemaker, and ML Ops

 

COMPANY

LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders, so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders, so they make their best financial choices.
Our CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.

What else you should know:

  • We’re a publicly-traded company (TREE).
  • We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
  • We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
  • We still make funny commercials.

 

The pay range for this position in Colorado/New York is $150,000-$180,000 however, base pay offered may vary depending on job-related knowledge, skills, and experience

Incentive Compensation: Eligible for annual performance bonus                  

Benefits: Medical, dental, vision insurance and 401(k) matching

 

CULTURE

We’re a fast-paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please, do wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). Come work with us!

LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. 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.

 

This is an opportunity for full-time employee

This job is no longer open
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