Senior Data Engineer

This role requires in-person attendance in the Charlotte, NC office at least 3 days a week (ideally Tuesday-Thursday) Position: LendingTree is seeking a Senior Data Engineer to join a team of data engineers. We have an exciting opportunity to develop and scale our home-grown data platform that powers our Business Intelligence reports, Analytics, and Marketplace technologies. This professional 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. Key Responsibilities: Deliver high quality, innovative data integration solutions in a fast-paced environment. Create real-time streaming data pipelines for multiple sources and data types. Develop and support Marketplace data integrations spanning multiple verticals and LendingTree's lines of business. Engage in seamless collaboration with Engineers, Data Architects, Data Product Owners, and Business Owners to execute project tasks efficiently. Develop and manage technical documentation to ensure clarity and accessibility. Participate in the on-call rotation to provide support during off-hours. Must have Requirements: 3 years of experience in implementing data services using AWS, Azure, or Google Cloud Services. Strong experience with Messaging and event Streaming technologies like Kafka, AWS Kinesis, AWS SQS and SNS etc. Strong experience with Cloud Based Data Warehousing and Analytics Platform like Snowflake, Databricks, Amazon Redshift etc. Proficient in data transformation and orchestration tools like dbt, Apache Airflow, etc. Experience with dimensional modeling and data vault modeling. Ability to design, implement, and support data integration projects with minimal oversight. Experience in building and supporting serverless architecture. Excellent verbal and written communication skills. Expertise in at least 1 programming language (python, Java, Scala etc.) Advanced working SQL knowledge and experience working with relational databases and data warehouse models. Additional Experience Preferred: B.S. in Computer Science or equivalent degree. Experience with Snowflake clustering, hybrid tables, materialized views, and dynamic tables. 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.) Flexible PTO Policy Great benefits and good work life balance Onsite gym and convenience store CULTURE We are a fast-paced company with an entrepreneurial outlook. We strive to be collaborative, ambitious, candid, and high-energy. We work hard and test our products often. We're collaborative, ambitious, candid and high-energy. We believe in rewarding innovation, creativity and value the knack for just getting stuff done (we even have an award for employees called the GSD, "Get Stuff Done"). Come work with us Incentive Compensation: Variable compensation (depending on job-related knowledge, skills, and experience), annual bonus Benefits: Medical, dental, vision insurance and 401(k) matching, unlimited PTO CCPA Disclosure