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Senior Data Engineer

Job Title: Senior Data Engineer
Contract Type: Permanent
Location: San Francisco
Industry:
REF: am-05
Contact Name: Aria Mahsoul
Contact Email: aria@intelletec.com
Job Published: 4 months ago

Job Description

Senior Data Engineer

SAN FRANCISCO
TECHNOLOGY
FULL-TIME
 
We are looking for a data-driven problem solver who can automatically discover and extract information from multiple data sources in our San Francisco office. The senior data engineer will work to recognize patterns and productize your solutions and techniques for integration into our products and our processes. You will have a high degree of authority and autonomy, be capable of managing multiple high-priority tasks in a timely manner, and collaborate across the business. A successful data extraction engineer at Plum needs to be innovative, detail-oriented, team-focused, strategic and effective in new and changing environments.
 
We are looking for the candidate to start immediately. At this moment we are not sponsoring individuals for employment visas. 
 
**Local candidates preferred - no relocation offered**
**Women and minorities are encouraged to apply**
 

RESPONSIBILITIES

    • Data munging with emphasis on ability to deal with imperfections in data.
    • Develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues.
    • Development of data-driven products.
    • Visualize and communicate data clearly for use both internally and externally.
    • Collaborate with our engineers to produce excellent products for our clients as well as streamline internal processes.

REQUIRED QUALIFICATIONS

    • Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science or related discipline.
    • 4+ years-experience in developing large scale distributed software systems.
    • Experience with scraping social media, using social media APIs.
    • Experience in data cleansing, curation, parsing, integration, semantic mapping, and editing.
    • High level language proficiency in Java, and/or Scala.
    • Strong knowledge of Linux / UNIX systems.
    • An entrepreneurial spirit as well as passion for solving difficult challenges through innovation and creativity, with a strong focus on results.
    • Conscientious and well organized.
    • Eager to produce results and drive forward progress while managing deadlines.
    • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas for this job.

PREFERRED QUALIFICATIONS

    • Knowledge of machine learning concepts and NLP techniques.
    • Experience in working with big data technologies Spark, MapReduce, NoSQL databases.
    • Experience with AWS infrastructure.
    • Basic understanding of statistics.
    • Experience with finance technology/analytics and real estate.

BENEFITS

    • Early equity in a startup that is revolutionizing commercial real estate lending.
    • Competitive package of base pay and stock options.
    • Generous health, dental and vision coverage for employees and family members, along with commuter pre-tax program.
    • Unlimited vacation policy.
    • Opportunity to make a meaningful impact on the disruption of an industry and to shape the building of a company and culture.
    • Chance for your direct input to be realized and put into action.
    • Freedom to stretch the boundaries of your past work experience, learn skills outside of your immediate job description and grow your career.
    • Autonomy, flexibility and a flat corporate structure.
Our client is a next generation financial technology company focused on serving the $3.7 trillion U.S. commercial real estate market.  We deliver to our clients more loan options, outstanding service, and a commitment to growing their long-term wealth.
 
The team includes former senior leaders and talent from AIG, Goldman Sachs, KKR, McKinsey, PWC, Sony, and Wells Fargo.  We have extensive experience with CRE sourcing, underwriting and funding processes, as well as deep networks of institutional financing channels.  Our founder and CEO, Bill Fisher, has decades of experience building successful startup businesses including GetSmart.com, Xing and Trivago.  
 
Our Series A funding was led by Renren Inc., who has built an exceptional record of backing fintech companies including SoFi, LendingHome and Motif Investing.  This followed an earlier seed investment by QED Investors, a pre-eminent VC firm led by the founders of Capital One, whose portfolio includes Prosper, Orchard and ApplePie Capital.
 
We are an early stage, high growth company with endless opportunities for advancement for individuals who are driven to deliver tangible results and work constructively to move us forward.  We seek to build it into a new national financial services brand as well as a fantastic place to come to work.  We are located in the heart of San Francisco’s Financial District in an airy, industrial loft, close to all forms of public transportation.