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Python Engineer
(more about Valkyrie Trading)

Python Engineer

What You’ll Do:
As a Python Engineer, you will join our interdisciplinary team to conceptualize and author the technologies that power our trading activities in financial markets. As an integral member of an aggressive and nimble company, you will have the opportunity to tackle challenges in programming, networking, technology and finance. Your initial responsibilities will include the development and improvement of our growing queue of data, quantitative and analytics applications that add significant value to Valkyrie’s bottom line.
What You’ll Need:
  • Bachelor’s degree or a strong foundation in computers and programming
  • 2+ years of experience in developing large-scale production Python systems.
  • Proficient in writing SQL queries and working with SQL databases.
  • Experience in writing unit and regression tests using any testing framework.
  • Strong knowledge of Python package management.
  • Familiarity with Docker.
  • Experience with numerical libraries such as NumPy, SciPy, Pandas (preferred but not required).
  • Experience with CI/CD frameworks (preferred but not required).
  • Ability and willingness to take full ownership (design, implement, test, deploy, maintain, iterate) of projects
  • Comfort resolving uncertainty and communicating for issue resolution
  • Willing to work on a collaborative team
  • Exemplary attention to detail and an interest in the financial industry
  • Vision to solve today’s problems while building future solutions
  • Entrepreneurial attitude with a keen attention to both structure and detail
  • Comfort with both Windows and Linux environments
What You’ll Get:
  • Competitive salaries and performance bonuses
  • Direct mentoring from senior software engineers
  • Top-tier medical, vision, and dental coverage
  • Relocation assistance packages
  • Generous vacation policy
  • Training opportunities and continuing education
  • Catered lunch, snacks, and beverages
  • Group outings and company parties
  • Casual dress environment