Careers

Product & Support Intern

United States (remote)

About Xignite

Xignite has been disrupting the financial and market data industry from its Silicon Valley headquarters since 2006 when it introduced the first commercial REST API. Since then, Xignite has been continually refining its technology to help fintech and financial institutions get the most value from their data. Today, more than 700 clients access over 500 cloud-native APIs and leverage a suite of specialized microservices to build efficient and cost-effective enterprise data management solutions. Visit http://www.xignite.com or follow on Twitter @xignite

Xignite Winter 2021 Internship Program

Xignite is looking for an enthusiastic and motivated intern with a strong career interest in financial services and Fintech products to work alongside our Product team. During your internship, you will gain exposure to all areas of Xignite’s technology and products, including API and AWS cloud delivery of financial data, and will start to develop analytical and research skills necessary for a career in engineering.

The Xignite Internship Program offers you impactful, project-based work experience in a collaborative environment where you will work side by side with your assigned mentor and team members. For anyone seeking to gain invaluable expertise through meaningful, personal contributions, join us to Power the Future of Fintech! 

Eligibility

  • Working towards a Bachelor's degree or recently graduated.
  • Must be available to work remotely for 6 months
  • Must commit to working 10 hours per week.
  • Must have access to a computer and Internet service.
  • Interns will be compensated with an hourly wage and a reimbursement for Internet service.
  • At the successful completion of the internship, you will receive a letter of recommendation and Certificate of Completion.

Responsibilities

  • Learn the basics of financial markets and APIs data delivery
  • Research product-related improvements and requirements
  • Build data quality tools leveraging AI/machine learning technologies 
  • Build an integration with Google Big Query and Snowflake 
  • Help troubleshoot and research data quality-related issues
  • Improve internal processes, including documentation

Requirements

  • Inherent interest in a career in finance or software engineering.
  • Basic proficiency with Python or query language(s) such as SQL preferred.
  • Great communication skills.

To Apply submit application form