Sr Software Engineer, Big Data

Lending Club

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 06/01/2021
  • Website: lendingclub.com
  • Company Address: 71 Stevenson Street Suite 300, San Francisco, CA, 94105

About Lending Club

LendingClub is America's largest online marketplace connecting borrowers and investors, facilitating personal loans, business loans, and financing for elective medical procedures and K-12 education and tutoring.

Job Description

LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC, and the only full-spectrum fintech marketplace bank. Members can gain access to a broad range of financial products and services through a technology-driven platform, designed to help them pay less when borrowing and earn more when saving. Since 2007, more than 3 million members have joined the Club to help reach their financial goals. We’re leading the governance of a new industry by developing ethical, responsible ways to bring greater value and better opportunities to our members. Everyone deserves a better financial future and our team is committed to making that a reality. Come join us!
 

About the Role

Here at LendingClub, as a Sr Software Engineer on the Data Engineering Team, you’ll be part of the Data Technology organization that help drive business decisions using data. LendingClub’s business is data driven and you will build solutions to help the company make decisions about marketing, pricing, credit, funding, and many other business aspects, which is transforming the banking industry. We’re looking for talented Data Engineers passionate about building new data driven solutions with the latest Big Data technology.

What You'll Do

  • Designs, develops and maintains scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using HQL and 'Big Data' technologies
  • Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization
  • Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

About You

  • A seasoned professional with 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base.
  • Experience with data pipeline, data streaming, data analytics, data warehousing and big data
  • Experience with SQL/No-SQL, schema design and dimensional data modeling
  • Experience with BigData technologies stack such as Kafka, Cassandra, Airflow, HBase, Hadoop, Hive, Oozie, MapReduce
  • Experience in AWS/Cloud/Spark/Java/Python development
  • Proficiency in programming languages such as: Python, Java, Scala
  • Familiar with Agile methodology, test-driven development, source control management, DevOps, Continuous Integration/Delivery, and testing automation
  • BS/MS in Computer Science or similar

#LI-KG1


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 [email protected]

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.