<h3>Current Employees of LendingClub: Please apply via your internal Workday Account</h3>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!<h2></h2><h2>About the Role</h2>At LendingClub, our mission is to empower people working toward better financial health — and data is at the heart of how we make that happen. Our Data and Analytics team plays a vital role in enabling insights, innovation, and smarter decisions across the business. We’re looking for a Sr Manager, Data Engineering to help scale our data capabilities across batch processing, real-time streaming, pipeline orchestration, data lake management, and cataloging. In this role, you’ll lead a talented team of engineers and use your expertise in big data, design thinking, and modern analytics to build the libraries, frameworks, and pipelines that power our data ecosystem. If you’re passionate about building modern data platforms, leading high-performing teams, and solving complex data challenges at scale, this is your opportunity to make an impact.<h2></h2><h2>What Youll Do</h2><div><ul><li>Lead and grow a team of data engineers building systems, libraries, and frameworks that power batch and streaming data and ML applications </li><li>Partner with Product, Business, and Engineering teams to align data solutions with strategic priorities and deliver measurable business impact </li><li>Define and evolve the technical vision for LendingClub’s modern data stack, including Hadoop, Spark, DBT, Airflow/Dagster, Atlan, Trino, Databricks, Snowflake, and AWS </li><li>Design and deliver scalable, reliable data pipelines that transform raw data into trusted, business-ready datasets </li><li>Champion data quality, observability, governance, and lineage to ensure data is accurate, compliant, and dependable </li><li>Identify opportunities for automation, performance optimization, cost efficiency, and scalability across the data ecosystem </li><li>Establish and promote best practices for software development, CI/CD, and operational excellence </li><li>Provide technical leadership in resolving production issues, driving root-cause analysis, and improving system resiliency </li><li>Mentor and inspire team members, fostering a culture of collaboration, continuous learning, and delivery excellence </li></ul></div><h2></h2><h2>About You</h2><ul><li>8+ years of experience in data or software engineering, including 3+ years in a technical leadership or people management role </li><li>Proven ability to lead, develop, and scale high-performing data engineering teams while remaining hands-on with architecture and design </li><li>Deep expertise in distributed data systems (Hadoop, Spark, Hive, Kafka), orchestration frameworks (Airflow/Dagster), DBT, and modern data platforms (Databricks, Snowflake) </li><li>Strong coding background in Python and experience building production-grade pipelines </li><li>Hands-on experience with cloud platforms (AWS preferred) and cloud cost optimization </li><li>Skilled in Git, CI/CD, Agile, and test-driven development </li><li>Excellent communication and stakeholder management skills, with the ability to bridge technical and business needs </li><li>Committed to simplicity, scalability, and delivering high-quality, reliable, and efficient data solutions </li></ul>Nice to have skills: <ul><li>Experience with open-source ML frameworks and the end-to-end model development lifecycle </li><li>Background leading teams that build and operate containerized environments (Docker, Kubernetes, AWS ECS/EKS) </li><li>Experience in regulated industries (fintech, banking, or healthcare) with a focus on data governance, lineage, and compliance </li></ul>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 zones when necessary. Travel Requirements As needed travel to LendingClub offices and/or other locations, as needed. Compensation The target base salary range for this position is 197,000-232,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more. #LI-Hybrid #LI-BC1 LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.  We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.

Lending Club

Sr Manager, Data Engineering

Lending Club

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