Data Engineer

Who We Are

Perpay, a leading technology start-up in Philadelphia, is a FinTech company focused on bringing healthier credit options to consumers. We combine lending and payments into an e-commerce platform that challenges the typical channels of credit. We strive to solve a complex problem – the lack of affordable and accessible credit – as efficiently as possible, because we believe that everyone should have the ability to build a healthy financial life. Located in a loft-style office at the heart of Midtown Village, Philadelphia, Perpay represents a space for creative and collaborative problem-solving.

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 do not work with recruiters so please contact us or apply directly!