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
• Experience in Git, JIRA, Jenkins, shell scripting
• Familiarity with Agile methodology, test-driven development, source control management and test automation
• Experience supporting and working with cross-functional teams in a dynamic environment
• You have excellent collaborative problem solving and communication skills and are empathetic to others
• You believe in simple and elegant solutions and give paramount importance to quality
• You have a track record of building fast, reliable, and high-quality data pipelines
Nice to have skills:
• Working knowledge of open-source ML frameworks and end-to-end model development lifecycle
• Previous working experience with running containers (Docker/LXC) in a production environment using one of the container orchestration services (Kubernetes, Docker Swarm, AWS ECS, 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 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 176,000-205,000. 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.
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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.
