Staff Data Engineer Charlotte, NC, United States

Data Engineer Opportunity

LendingTree is seeking an experienced Data Engineer to join Marketing Intelligence Team. We have an exciting opportunity to develop and scale our enterprise data platform to power analytics and machine learning teams while championing data integrations into marketing platforms.

This individual will partner with architecture leaders, data platform and operations teams, analytics stakeholders, 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 the LendingTree's data 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 Software Engineering teams to deliver on enterprise data initiatives.

Please consider joining the team if you'd like to work in a dynamic, business critical environment, possess exceptional technical skills and want to have an impact on several vital business capabilities and strategies.

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 starting with Marketing domain data sources.
• 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 Marketing Intelligence 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 customer 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 Product 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, Databricks, Redshift, or Big Query
• Strong Experience with BigData Tools Kafka, Spark Streaming, AWS Kinesis
• Extensive experience with modern ETL tools like Talend, DBT, Stitch, Xplenty etc.
• Ability to design, lead, implement & support data integration projects with minimal oversight
• Experience with NoSQL Databases like MongoDB, AWS DynamoDB, Elastic Search, Couchbase etc.
• 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.)

Additional Experience Preferred

• S. in Computer Science or equivalent.
• Experience with RESTful API's, AWS Fargate, AWS Gateway API, Lambda
• Familiarity with Customer Data Platform and other MarTech platforms is a plus
• Experience with Salesforce tools Mulesoft, Marketing Cloud, Sales and Service Cloud
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)

Why LendingTree

• We are a meritocracy, not bureaucracy
• Flat structure, very minimal oversight
• Didn't get something right the first time? That's OK, experiment till you do and learn from it. (It's better to have tried and failed than never to have tried at all.)
• Dress code we don't have one. (Flip flops, shorts, jeans whatever.)
• Unlimited vacation days
• Great benefits and good work life balance
• Onsite gym and convenience store

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.