Senior Data Engineer

  • PLUM Inc
  • San Francisco, CA, USA
  • Sep 08, 2020
Full time Finance

Job Description

We are looking for a data-driven problem solver who can automatically discover and extract information from multiple data sources. 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 senior data engineer at Plum needs to be innovative, detail-oriented, team-focused, strategic and effective in new and changing environments. One who can see a project through to conclusion.

We are looking for the candidate to start immediately. At this moment we are not sponsoring individuals for employment visas. 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 Plum clients as well as streamline internal processes. 

An entrepreneurial spirit as well as passion for solving difficult challenges through innovation and creativity, with a strong focus on results. 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. Data cleansing, curation, parsing, integration, semantic mapping, and editing. High level language proficiency in Java, prefer also Scala. Strong knowledge of Linux / UNIX systems. 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.

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

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.