Staff Data Engineer

LendingTree - Charlotte, NC

Full-time - Senior

Charlotte, NC

Credit Intermediation and Related Activities

About the position

LendingTree is seeking a Staff Data Engineer to join our AI Innovation Lab. We have an exciting opportunity to build revenue-generating and customer-facing AI solutions. 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/AI/ML related business needs and capabilities, while implementing technologies, platforms and tools aligned to the LendingTree's AI strategy. We are seeking a data lead who will be passionate about data engineering and building streaming data pipelines, will be a big picture thinker, and will work with partners across Marketing, Product, Data Science, Analytics, Contact Center and Technology teams to deliver on enterprise data initiatives.

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 execution for 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 AI Innovation 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 warehouse platform and data service applications spanning multiple verticals.
• Assist as an individual contributor to an Agile Development Team in addition to leading a team.

Requirements

• 8+ years of experience in Big Data Platform Management and Lifecycle
• Expert-level experience & knowledge on Cloud Data Warehouse like Snowflake
• Extensive experience with modern ETL / ELT tools like - dbt and FiveTran
• Proficient in AWS technology stack like AirFlow, Lambda, etc.
• Ability to design, lead, implement & support data integration projects with minimal oversight
• Excellent verbal and written communication skills
• Expertise in at least 1 programming language (python, Java, Scala etc.)

Nice-to-haves

• B.S. in Computer Science or equivalent.
• Experience with RESTful API's, AWS Gateway API, Lambda, Kafka Data Pipelines
• Experience of AI / ML / LLM's
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)

Benefits

• Medical, dental, vision insurance
• 401(k) matching
• Unlimited time off
• Annual bonuses
• Company stock
• Casual dress code