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

At LendingClub, our mission is to empower people striving to achieve better financial health — and data plays a critical role in making that mission possible. The Data and Analytics team builds the systems and insights that power smarter decisions across the company.

We’re looking for a Sr Data Engineer to design, build, and optimize data systems that enable batch processing, real-time streaming, pipeline orchestration, data lake management, and data cataloging. You’ll use your expertise in big data, design thinking, and analytics to develop the core libraries, frameworks, and pipelines that support our data products — helping LendingClub confidently leverage data at petabyte scale.

If you’re passionate about building scalable, data-driven solutions using the latest technologies, we’d love to meet you.

What You'll Do

• Build systems, core libraries, and frameworks that power batch and streaming Data and ML applications 
• Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, and platforms like Databricks, Snowflake, and AWS 
• Develop a deep understanding of LendingClub’s data — what it represents and how it drives our products and business decisions 
• Build data pipelines that transform raw data into canonical schemas representing key business entities and publish them to the Data Lake 
• Identify, design, and implement internal process improvements, including automation, performance optimization, and cloud cost reduction 
• Collaborate with Business, Product, Program, and Engineering teams to deliver high-quality, reliable data efficiently and cost-effectively 
• Implement processes and systems for data quality, observability, governance, and lineage 
• Support production operations, troubleshoot and resolve issues, and conduct root-cause analysis to enhance system resiliency 
• Write unit and integration tests, follow test-driven development practices, and contribute to documentation and engineering wikis 

About You

• 6+ years of hands on experience with distributed data systems including Hadoop, Spark, Hive, Kafka, DBT, and Airflow/Dagster 
• Bachelor’s degree or higher in Computer Science or a related field; or equivalent work experience 
• 4+ years of production-quality coding experience building data pipelines in Python 
• Experience with public cloud platforms (AWS preferred) 
• Proficiency with Databricks and/or Snowflake 
• Skilled in Git, JIRA, Jenkins, and shell scripting 
• Familiarity with Agile methodologies, test-driven development, and automated testing 
• Strong collaboration and communication skills, with a problem-solving mindset and empathy for partners and teammates 
• Commitment to simplicity, quality, and building fast, reliable, high-impact data pipelines 

Nice to have skills:  

• Working knowledge of open-source ML frameworks and the end-to-end model development lifecycle 
• Experience running containers (Docker/LXC) in production using orchestration services such as Kubernetes, Docker Swarm, AWS ECS, or AWS EKS 

Work Location
San Francisco

The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.

Time Zone Requirements
Primarily PT

While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time