Staff Data Engineer

Charlotte, NC, United States

Applications have closed

LendingTree

LendingTree helps you get the best deal possible on your loans. By providing multiple offers from several lenders, we show your options, you score the win.

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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 team and active participant in Enterprise Cloud Data initiatives
  • Provide mentorship and train staff on standards and policies around best data engineering practices including technical documentation
  • Develop, and support data lake / data warehouse platform and data service applications spanning multiple verticals
  • 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) in addition to leading a team

 

Must have Requirements:

  • 8+ years of experience in Big Data Platform Management and Lifecycle
  • Expert level experience & knowledge on Cloud Data Warehouse like Snowflake and Redshift.
  • Strong Experience with BigData Tools – Kafka, Spark Streaming, AWS Kinesis
  • Extensive experience with modern ETL / ELT tools like – dbt and FiveTran.
  • Proficient in AWS technology stack like AWS Glue, AWS Glue Crawler, AirFlow, Lambda etc.
  • Ability to design, lead, implement & support data integration projects with minimal oversight
  • Experience in building, supporting & optimizing cloud infrastructure resources
  • Excellent verbal and written communication skills
  • Expertise in at least 1 programming language (python, Java, Scala etc.)
  • B.S. in Computer Science or equivalent.

Additional Experience Preferred:

  • Experience with RESTful API’s, AWS Fargate, AWS Gateway API, Lambda
  • Experience with Salesforce tools.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)

 

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.

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 employment. Please no third parties or Corp to Corp.

Tags: Agile Airflow APIs Architecture AWS Big Data Business Analytics Computer Science Data governance Data pipelines Data strategy Data warehouse ELT Engineering ETL FiveTran Kafka Kinesis Lambda Pipelines Python RDBMS Redshift Scala Security Snowflake Spark SQL Streaming

Perks/benefits: Insurance

Region: North America
Country: United States
Job stats:  3  0  0

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