Data Engineer

Nearly one in two households in the U.S. struggles to handle an unexpected expense of $400 or more. When it comes to managing household expenses, things like a broken appliance or a growing family can be financially burdensome. We’re a collaborative team of creative problem-solvers on a mission to make life’s purchases more accessible and affordable. Located in the heart of vibrant Philadelphia, we’re building a FinTech-enabled e-commerce marketplace that combines quality brands with sensible financing to improve the lives of our neighbors and communities.

Position Overview

We are searching for a Data Engineer who is a quantitative, critical thinker with a passion for data and the capacity to work in a fast-paced, entrepreneurial environment. We are looking for an individual who desires experience in serving data-driven solutions at scale, crossing multiple functional areas and driving organizational efficiency. Applicants should be highly motivated and comfortable with taking on and adapting to a diverse array of subject matter. This opportunity is both unique and pivotal, as it provides the chance to contribute greatly to a rapidly-growing team.

 
Initial Responsibilities

  • Analyze and resolve complex challenges around data and tools. Optimize analytical workflows by identifying opportunities and automating them
  • Implement solutions to bring together application data generated by distributed systems, third-party data, and real-time user data needed to make key business decisions
  • Work within the Data Science team to serve machine learning solutions at scale
  • Work on projects of growing responsibility, both individually and as part of a team, to build experience and skills at a pace matched to your shown ability
  • Learn more about the industry and Perpay, establishing a solid foundation to be better positioned for long-term career success
 

Basic Qualifications

  • Bachelor’s degree or higher in a quantitative/technical field (Computer Science, Statistics, Engineering)
  • Minimum two years work experience in related field required
  • Working knowledge of data design, architecture and warehousing
  • Understanding of  data management fundamentals and data storage principles
  • Knowledge of distributed systems as it pertains to data storage and cloud computing
  • Understanding and administration of AWS, Docker and Linux-based systems
  • Experience in custom ETL design, implementation and maintenance
  • Experience in large scale data processing using traditional and distributed systems like Hadoop, Spark, Dataflow, and Airflow.
  • Strong working knowledge of SQL/NoSQL, relational databases and Python is required (2+ years experience)
 

Preferred Qualifications

  • Knowledge and practical experience in machine learning and AI fundamentals
  • Experience implementing machine learning solutions at scale
  • Experience working with both Batch and Real Time data processing systems
  • Ability to work and communicate effectively with stakeholders.
  • Effective project management, problem solving, analytical and troubleshooting skills.
 

Benefits

  • Opportunity to work with one of the fastest growing financial startups
  • Competitive salary + equity
  • Health/dental/vision insurance + 401K
  • Gym + public transportation subsidy
  • Relocation assistance
  • Centrally located in downtown Philadelphia
 

We don't work with external recruiting agencies, please contact us or apply directly!

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