LendingClub · 11 hours ago
Principal Data Engineer
San Francisco, CA
Full-time
Onsite
Lead/Staff
8+ years expLendingClub Corporation is the leading digital marketplace bank in the U.S., helping nearly 5 million members secure over $90 billion in loans. They are seeking a Principal Data Engineer to lead the design and evolution of data systems that support machine learning and analytics use cases, focusing on building reliable and scalable data foundations.
Consumer LendingCreditFinanceFinancial ServicesFinTechLendingPeer to PeerPersonal Finance
Responsibilities
Design, build, and own large-scale data and ML data pipelines that integrate directly with LendingClub’s products and external vendors
Design and operate data platforms where autonomous coding agents help maintain pipelines, schemas, and tests, while you own architecture and guardrails
Lead the architecture and implementation of MLOps including feature stores, training datasets, batch and real-time inference pipelines
Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, and modern data platforms like Databricks and Snowflake, across the AWS cloud stack
Partner with Data Scientists to productionize ML workflows and ensure data reliability, reproducibility, and performance
Identify, design, and implement automation of manual processes, optimizing data delivery, improving system reliability, and reducing cloud costs
Implement processes and systems to monitor Data Quality, Observability, Governance, Lineage, and ML data consistency
Define policies, workflows, and quality gates for using AI agents in production data systems
Provide technical leadership and mentorship, influencing data engineering standards, best practices, and long-term platform strategy
Coach teams on decomposing work, supervising agents, and validating AI-generated changes
Support operations to manage the production environment and lead root cause analysis (RCA) for complex data and ML pipeline issues
Write unit and integration tests, advocate for test-driven development, contribute to engineering documentation and design reviews
Qualification
Required
8+ years of data engineering experience with deep hands-on experience with distributed data systems including Hadoop, Spark, Hive, DBT, and Airflow/Dagster
Bachelor's degree in computer science or a related field, or equivalent work experience
5+ years of production-quality Python experience, building and maintaining large-scale data pipelines
Strong experience building machine learning use cases through data engineering (e.g., feature engineering pipelines, training/inference data flows)
Experience working with public cloud platforms, preferably AWS
Experience with Databricks and/or Snowflake in production environments
Strong working knowledge of Git, JIRA, Jenkins, shell scripting
Familiarity with Agile methodologies, test-driven development, source control management, and test automation
Proven ability to work across cross-functional teams in a fast-paced, dynamic environment
Excellent collaborative problem-solving and communication skills, with the ability to influence without authority
A track record of designing and delivering scalable, reliable, and high-quality data platforms
Preferred
Nice to have: experience building data pipelines for Digital Marketing use cases
Company
LendingClub
Since our founding in 2007, we have transformed the banking industry by bringing a traditional credit product - the installment loan - online and we’ve been on the fast track ever since.
1001-5000 employees
H1B Sponsorship
LendingClub has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2022 (26)
2021 (19)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
$392.23MKey Investors
CapitalG,Foundation CapitalKleiner PerkinsThomvest Ventures,Union Square Ventures
2017-04-09Post Ipo Equity
2014-12-11IPO
2014-08-22Series Unknown
Leadership Team
Scott Sanborn
CEO
Drew LaBenne
Chief Financial Officer
Recent News
p2p-banking.com
2025-12-24
Company data provided by crunchbase