Sr Data Engineer

Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!

About the Role

Our mission at LendingClub is to empower those who strive to achieve better financial health. The Data and Analytics team plays a crucial role in achieving our mission.

We are seeking a Senior Data Engineer to build and optimize data systems that power batch processing, real-time streaming, pipeline orchestration, data lake management, and data cataloging. You will have the opportunity to use your expertise in solving big data problems, design thinking, coding and analytical skills to develop core libraries, frameworks, and data pipelines that support data products and enable us to confidently leverage our petabyte-scale data. We’re looking for talented Data Engineers passionate about building new data-driven solutions with the latest Big Data technology.

What You'll Do

• You will build systems, core libraries and frameworks that power our batch and streaming Data and ML applications. The services you build will integrate directly with LendingClub’s products, opening the door to new features. 

• You will work with modern data technologies such as Hadoop, Spark,  DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack 

• Develop a deep understanding of how LendingClub’s data is used and what it represents. 

• Build data pipelines that transform raw data into canonical schema representing business entities and publish it into the Data Lake 

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, reducing Cloud cost, redesigning infrastructure for greater scalability, etc.  

• Work with stakeholders including the Business, Product, Program and Engineering teams to deliver required data in time with high quality at reasonable cost  

• Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage. 

• Support operations to manage the production environment and help in resolving production issues with RCA  

• Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.  

About You

• 5+ years of experience and a bachelor’s degree in computer science or a related field, or equivalent work experience 

• In-depth working experience of distributed systems Hadoop, Spark, Hive, Kafka, DBT and Airflow/Dagster 

• At least 4 years of solid production quality coding experience in data pipeline implementation in Python  

• Experience working with public cloud platforms, preferably AWS 

• Experience working with Databricks and/or Snowflake