Employment Opportunities

Current employment opportunities are listed below. Please select "show more" to view the full detail & requirements for each opportunity or to apply online.

Job Title:
Data Engineer
Job Function:
Information Technology


  • Install and configure software
  • Develop and maintain support applications
  • Troubleshoot system issues and outages
  • Establish monitoring for web services and APIs
  • Develop and maintain technical documentation
  • Lead effort to offload computing functionality to the cloud (AWS)
  • Aid in effort to standardize best practices across applications and processes

The Data Engineer is responsible for effective provisioning, installation/configuration, operation, and maintenance of systems (hardware and software) related to quantitative trading team activities. In this role, the individual participates in technical research, new development, & maintenance of business activities to enable continued innovation with predictive analytic efforts.

  • Develop API, web services, and models
  • Develop scripts and data queries
  • Perform daily system monitoring verifying the integrity/availability of hardware resources, systems, and key processes/services
  • Repair and drive the identification of root cause for hardware or software failures. Coordinate and communicate with impacted team members and stakeholders.
  • Research and recommend innovative and, where possible, automated approaches for system administration, database, or monitoring activities
  • Contribute to and maintain operational, configuration, or other procedures


  • 4-6 years development, system administration, and/or databases experience
  • Bachelor's degree with a technical major, such as engineering or computer science
  • Strong Linux experience
  • Ability to create scripts in Python, Shell, R, or other language
  • Software development experience (java, .NET, python, C/C++, or etc.)
  • Software Configuration Management (Git, SVN etc.)
  • Passion to learn, self-motivate, & drive execution in an entrepreneurial setting
  • Resourcefulness, demonstrated problem-solving aptitude and critical thinking
  • Excellent communication skills
  • Database experience (Oracle, MySQL, Postgres) / SQL
  • Cloud Compute (Google Cloud Platform, AWS, Paperspace, or etc.)


  • Airflow experience
  • Python and/or R
  • Machine Learning/Data Science and/or familiarity with concepts and best practices
  • General cloud experience (AWS)
  • Comfort with a startup culture/environment
  • Webservice/API development
  • Data Warehousing


May require working evenings and/or weekends as needed.
No regular travel required.

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