Principal Data Analytics Engineer, Lending Club
$195-230k
The position is also eligible to receive a bonus and equity
2+ days a week in office
Online personal loans
Job no longer available
Online personal loans
1001+ employees
Job no longer available
$195-230k
The position is also eligible to receive a bonus and equity
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
- At least 15 years of solid professional experience in design data warehouses, data marts, and information modeling
- At least 10 years of experience with OLTP and OLAP use cases at scale
- In-depth knowledge of distributed systems, NoSql DBs, and familiarity with Snowflake
- Experience working with public cloud platforms, preferably AWS
- Familiar with Agile methodology, test-driven development, source control management and automated testing
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience with technical leadership of products, and teams
What the job involves
- Our mission at LendingClub is to empower those who strive to achieve better financial health. Big Data Analytics Platform team plays a crucial role in achieving our mission
- We are seeking a Principal Analytics Engineer for our Analytics Platform to provide warehouse, data marts, ETL, and information model design
- On our analytics platform team, you will have opportunity to use your expertise in data warehousing, data mart design, and schema design skills to enable LendingClub to be data driven company
- You will enable our business teams to leverage modern cloud native stack to take business decision. We have PB scale data and intend to provide lead edge products
- You will design data warehouse, data marts, information model design for all our analytics use cases
- You will work with cloud native technologies such as Snowflake, Tableau, Kafka, and AWS stack
- You will understand how LendingClub’s data is used for analytics, and how to optimize analytics use cases
- You will empower our business analysts and data science teams to discover new insights and possibilities
- You will enable business teams, data analysts, data engineers to be able to query data on an ad-hoc basis
- Identify, design, and implement internal process improvements: automating manual processes, optimizing analytics, re-designing infrastructure for greater scalability, etc
- Build the infrastructure required for optimal query of PB scale data at lower cost while meeting query SLA
- You will build a common analytics information model across all of Lending Club
- Work with stakeholders including the Executive, Product, and program teams to assist with analytics-related technical issues and support their analytics infrastructure needs
- You will closely with Quality Engineers, and lead products and projects across analytics use cases
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.
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