Senior Data Engineer, Lending Club
$175-200k
More information about location
2 days a week in office
Online personal loans
Job no longer available
Online personal loans
1001+ employees
Job no longer available
$175-200k
More information about location
2 days a week in office
1001+ employees
Company mission
To transform the banking system to make credit more affordable and investing more rewarding.
Role
Who you are
- B.S., M.S. degree in computer science or a related field or equivalent work experience
- In-depth working experience of distributed systems Hadoop/MapReduce, Spark, Hive, Kafka and Oozie/Airflow
- At least 5 years of solid production quality coding experience in data pipeline implementation in Java, Scala and Python
- Experience working with public cloud platforms, preferably AWS
- Familiar 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’re passionate about Data and building efficient data pipelines
- You have excellent listening skills and 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
- Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results
Desirable
- Working experience with AWS EMR (Hadoop), AWS MSAA (Airflow), and AWS MSK(Kafka)
- Implementation of streaming data pipelines
- Working knowledge of open-source ML frameworks and end-to-end model development life cycle
- 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)
What the job involves
- You will build systems, core libraries and frameworks that power all our batch and streaming data applications. The services you build will integrate directly with LendingClub’s products, opening the door to new features
- You will work with open-source technologies such as Hadoop, Spark, Scala, Hive, Presto etc and cloud technologies across AWS stack
- You will understand how LendingClub’s data is used and what it all means
- Build data pipelines that transform raw data into canonical schema representing business entities and publish into the Data Lake
- Build data pipelines to process data in the Data Lake to create specific business feeds as per functional requirements from various business units
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, reduce Cloud cost, re-designing 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 validate and monitor data quality and 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
Our take
Lending Club is a digital bank offering personal loans, auto loan refinancing, and debt consolidation to help individuals manage their finances. It provides flexible loan terms and competitive rates for a variety of needs, as well as high-yield saving and cash-back checking accounts, designed to help customers grow their money.
Focusing on digital solutions, Lending Club removes traditional brick-and-mortar branches, passing the savings on to customers through low fees and better rates. It connects borrowers with investors in a marketplace model and offers fast loan approvals and competitive interest rates.
To bolster its offering, the company acquired Tally Technologies' intellectual property (IP) to enhance its credit management services. It continues to develop and enhance its products and improve customer engagement in a bid to become a "top of mind" company with more active users.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2014
$65m
GROWTH EQUITY VC
Nov 2013
$57m
GROWTH EQUITY VC
Total funding: $332m
Company benefits
- Untracked vacation for salaried employees, which means take it when you need it, and generous paid time off for hourly team members
- A hybrid work model that balances in-office and work from home
- Leading health and safety protocols related to COVID, including complimentary at-home testing kits from Cue Health for those coming to the office
- Up to 16 weeks paid leave for new parents, plus a fully paid, phased return-to-work policy for qualified leaves
- Mothers Rooms and hospital-grade pumps in every LC office
- Generous and varied mental health benefits
- Wellness program with cash incentives — earn up to $75 per month for being active
- Paid volunteer time and donation matching
- Onsite gym, locker room, bike room, and fitness classes (depending on location)
- Café with our own in-house barista
- Stocked pantries with healthy snacks and drinks
- Technology-forward and collaborative office spaces
Company HQ
South Beach, San Francisco, CA
Leadership
Scott Sanborn
(CEO)Previously held leadership positions as the Chief Revenue Officer for publicly traded eHealth Insurance, President of RedEnvelope, Inc., and SVP at the Home Shopping Network. Joined LendingClub in 2010 and has worked as Chief Marketing Officer, Chief Operations Officer, and President before becoming the CEO in 2016.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 30 more jobs at Lending Club