Associate Data Engineer at LendingClub
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Jul, 25

Salary

0.0

Posted On

09 Apr, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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 Team plays a crucial role in achieving our mission.
We are seeking an Associate Data Engineer for our Data Team to provide batch data processing, real-time streaming, pipeline orchestration, data lake management and data cataloging capabilities. On our data platform team, you will have opportunity to use your expertise in solving big data problems, design thinking, coding and analytical skills to build core libraries, frameworks and data pipelines to build data products and leverage our PB scale data with confidence.

What You’ll Do

  • Build, scale and maintain services and data pipelines that integrate, acquire and assemble large, complex data sets from a wide variety of internal and external data sources that support batch and streaming paradigms.
  • Work closely with team members to understand requirements, write code, and prototype ideas
  • Participate in recurring team meetings to foster culture
  • Implement and document new software components
  • Work with more experienced colleagues to learn procedures
  • Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes
  • Write unit/integration tests, contribute to engineering wiki, and document work
  • Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

About You

  • You are passionate about big data and have 0-2 years of experience working with SQL/Hive queries and Databases
  • Bachelor’s degree or higher in Computer Science, Software Engineering, Information Systems or related fields
  • Java or Python coding skills highly desired
  • Good to have big data skills such as Hadoop, Spark, Kafka, Airflow etc.,
  • Knowledge of Agile development methodology, TDD, source control management, and automated testing
  • Knowledge of UNIX/Linux operating systems and scripting skills (shell, Perl, Python, etc.)
  • Passion for collaboration across teams and with business partners to align priorities, solve problems, and create solutions having meaningful impact for our customers
  • Solid verbal and written communication skills

Work Location
San Francisco
We are currently working a hybrid schedule and our teams are in-office Tuesdays, Wednesdays, and Thursdays.
Time Zone Requirements
Primarily PT
Travel Requirements
If you need to travel for work, LendingClub will cover your travel related expenses.
Compensation
The target base salary range for this position is 125,000-145,000. The position is also eligible to receive a bonus (which is based on company performance, employee performance and eligible earnings), equity, and benefits. Our salary ranges, other compensation and benefits offered are determined by role, experience level and location.
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

Responsibilities
  • Build, scale and maintain services and data pipelines that integrate, acquire and assemble large, complex data sets from a wide variety of internal and external data sources that support batch and streaming paradigms.
  • Work closely with team members to understand requirements, write code, and prototype ideas
  • Participate in recurring team meetings to foster culture
  • Implement and document new software components
  • Work with more experienced colleagues to learn procedures
  • Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes
  • Write unit/integration tests, contribute to engineering wiki, and document work
  • Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvemen
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