Principal Data Engineer

LendingClub

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

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 Principal Data Engineer to lead the design and evolution of data systems that power batch processing real-time streaming pipeline orchestration data lake management data cataloging and machine learning workflows. This role has a strong emphasis on enabling and scaling machine learning and analytics use cases including feature engineering model training and inference data pipelines.

In this role you will apply deep technical expertise architectural thinking and hands-on development to solve complex big data and ML platform challenges. You will partner closely with Data Science Product and Platform teams to build reliable scalable and cost-efficient data foundations that support both analytics and production machine learning systems.

What Youll Do

  • Design build and own large-scale data and ML data pipelines that integrate directly with LendingClubs 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

About You

  • 8 years of data engineering experience with deep hands-on experience with distributed data systems including Hadoop Spark Hive DBT and Airflow/Dagster
  • Bachelors 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
  • Nice to have: experience building data pipelines for Digital Marketing use cases

Work Location
San Francisco

The above locations are eligible offices for this locations have been determined to foster in-person collaboration with this roles team or the related business lines. We utilize a hybrid work model and our teams are in-office Tuesdays Wednesdays and -person attendance is essential for this roles success and remote placement will not be 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 00. 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 LendingClubs 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).

Were 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-JT1


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


Required Experience:

Staff IC

Current Employees of LendingClub: Please apply via your internal Workday AccountLendingClub 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 ove...
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