CAIS is a rapidly growing and dynamic Fintech firm on a mission to build the premier two-sided marketplace for wealth managers and product providers. We are a high-energy, collaborative, and meritocratic group who seeks to make an impact and plays to win.

Join us in disrupting a multi-trillion USD industry and go with us where no one has gone before. We are looking for a Data Engineer to join our growing Technology team. You will collaborate with stakeholders as well as teammates to develop, construct, test, and maintain infrastructures for data generation. Qualified candidates will have a minimum of 8 years of experience in data engineering, excellent personal organization and attention to detail, a love for data, and an entrepreneurial spirit.

Primary Objectives

  • Build infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using both established and emerging technologies
  • Propose standards and architecture in the data technology space
  • Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics
  • Create data tools for analytics that assist in building and optimizing our product
  • Maintain, improve, clean, and manipulate data in operational and analytics databases
  • Take accountability for the performance of your work at CAIS including the impact it has on the firm and our clients

Qualifications

  • 8-10+ years of experience in product development, engineering, or technology strategy
  • BA/BS degree in computer science, mathematics, statistics, information systems, or a related technical field or equivalent practical experience
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured data sets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Experience supporting and working with cross-functional teams in a dynamic, fast-paced environment
  • Ability to solve open-ended problems in an elegant and scalable manner
  • Linear, logical thinking and the ability to resolve complex issues into manageable components
  • Strong quantitative, analytical, and problem-solving skills
  • Self-starter who takes initiative and learns quickly in a fast-paced environment

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