LendingClub
Sr Manager, Data Engineering
LendingClub
– San Francisco, CA
About the Role 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.
What You’ll Do
Lead and grow a team of data engineers building systems, libraries, and frameworks that power batch and streaming data and ML applications
Partner with Product, Business, and Engineering teams to align data solutions with strategic priorities and deliver measurable business impact
Define and evolve the technical vision for LendingClub’s modern data stack, including Hadoop, Spark, DBT, Airflow/Dagster, Atlan, Trino, Databricks, Snowflake, and AWS
Design and deliver scalable, reliable data pipelines that transform raw data into trusted, business‑ready datasets
Champion data quality, observability, governance, and lineage to ensure data is accurate, compliant, and dependable
Identify opportunities for automation, performance optimization, cost efficiency, and scalability across the data ecosystem
Establish and promote best practices for software development, CI/CD, and operational excellence
Provide technical leadership in resolving production issues, driving root‑cause analysis, and improving system resiliency
Mentor and inspire team members, fostering a culture of collaboration, continuous learning, and delivery excellence
About You
8+ years of experience in data or software engineering, including 3+ years in a technical leadership or people management role
Proven ability to lead, develop, and scale high‑performing data engineering teams while remaining hands‑on with architecture and design
Deep expertise in distributed data systems (Hadoop, Spark, Hive, Kafka), orchestration frameworks (Airflow/Dagster), DBT, and modern data platforms (Databricks, Snowflake)
Strong coding background in Python and experience building production‑grade pipelines
Hands‑on experience with cloud platforms (AWS preferred) and cloud cost optimization
Skilled in Git, CI/CD, Agile, and test‑driven development
Excellent communication and stakeholder management skills, with the ability to bridge technical and business needs
Committed to simplicity, scalability, and delivering high‑quality, reliable, and efficient data solutions
Nice to Have Skills
Experience with open‑source ML frameworks and the end‑to‑end model development lifecycle
Background leading teams that build and operate containerized environments (Docker, Kubernetes, AWS ECS/EKS)
Experience in regulated industries (fintech, banking, or healthcare) with a focus on data governance, lineage, and compliance
Work Location San Francisco – In‑person attendance required (Tues‑Thu); remote placement not considered.
Time Zone Primarily Pacific Time.
Travel Requirements As needed to LendingClub offices.
Compensation Base salary range $197,000 – $232,000 (plus long‑term awards and annual bonus).
Benefits Medical, dental, vision, 401(k) match, health and wellness programs, flexible time off, paid parental leave, and more.
Equal Opportunity Employer LendingClub is an equal‑opportunity employer and dedicated to diversity, equity, and inclusion. 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 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.
Accommodations 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.
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– San Francisco, CA
About the Role 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.
What You’ll Do
Lead and grow a team of data engineers building systems, libraries, and frameworks that power batch and streaming data and ML applications
Partner with Product, Business, and Engineering teams to align data solutions with strategic priorities and deliver measurable business impact
Define and evolve the technical vision for LendingClub’s modern data stack, including Hadoop, Spark, DBT, Airflow/Dagster, Atlan, Trino, Databricks, Snowflake, and AWS
Design and deliver scalable, reliable data pipelines that transform raw data into trusted, business‑ready datasets
Champion data quality, observability, governance, and lineage to ensure data is accurate, compliant, and dependable
Identify opportunities for automation, performance optimization, cost efficiency, and scalability across the data ecosystem
Establish and promote best practices for software development, CI/CD, and operational excellence
Provide technical leadership in resolving production issues, driving root‑cause analysis, and improving system resiliency
Mentor and inspire team members, fostering a culture of collaboration, continuous learning, and delivery excellence
About You
8+ years of experience in data or software engineering, including 3+ years in a technical leadership or people management role
Proven ability to lead, develop, and scale high‑performing data engineering teams while remaining hands‑on with architecture and design
Deep expertise in distributed data systems (Hadoop, Spark, Hive, Kafka), orchestration frameworks (Airflow/Dagster), DBT, and modern data platforms (Databricks, Snowflake)
Strong coding background in Python and experience building production‑grade pipelines
Hands‑on experience with cloud platforms (AWS preferred) and cloud cost optimization
Skilled in Git, CI/CD, Agile, and test‑driven development
Excellent communication and stakeholder management skills, with the ability to bridge technical and business needs
Committed to simplicity, scalability, and delivering high‑quality, reliable, and efficient data solutions
Nice to Have Skills
Experience with open‑source ML frameworks and the end‑to‑end model development lifecycle
Background leading teams that build and operate containerized environments (Docker, Kubernetes, AWS ECS/EKS)
Experience in regulated industries (fintech, banking, or healthcare) with a focus on data governance, lineage, and compliance
Work Location San Francisco – In‑person attendance required (Tues‑Thu); remote placement not considered.
Time Zone Primarily Pacific Time.
Travel Requirements As needed to LendingClub offices.
Compensation Base salary range $197,000 – $232,000 (plus long‑term awards and annual bonus).
Benefits Medical, dental, vision, 401(k) match, health and wellness programs, flexible time off, paid parental leave, and more.
Equal Opportunity Employer LendingClub is an equal‑opportunity employer and dedicated to diversity, equity, and inclusion. 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 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.
Accommodations 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.
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