Lead Java/Python Software Engineer

New York, NY 10022

Posted: 11/21/2019 Job Category: Software Engineer Job Number: 119508

Job Description

Title:  Lead Java/Python Software Engineer

Company:  Financial Data Analytics

Location:  New York, NY

Type:  Full Time Employment - offers a great base salary, fully subsidized medical/dental, 401K plan with company match, plus  a great culture and much more!

****************NO visa sponsorship or transfer available****************

Seeking a Lead  Software Engineer to architect scalable designs for applications accessing large financial data sets.

As a Lead Software Engineer you will be leading a team of exceptionally creative and intelligent developers and quants, collaborating daily to brainstorm and implement our next generation of data and analytic information products.

As the Lead Software Engineer you will hands-on contributor towards the development of tools and software as well as guiding and mentoring other Software Engineer team members.

If you are a passionate Software Engineer with Leadership experience looking to embark a company and  be  passionate about our mission and the projects we create then look no more!  We emphasize  on quality over expediency.

As a member of our development team, you will have true ownership over your projects from beginning to end, with an emphasis on accountability over micromanagement.

Our Tech Stack:
    • Languages: Java, Python - full stack - emphasis in Back End programming
    • Databases: Postgres, SQLite, MS SQL Server, AWS Redshift
    • Frameworks: Spring Boot, Angular
    • Data Analysis: AWS EMR/Hive, Spark, Athena

The Software Engineer Will:
    • Have at least 6 years of experience with Enterprise Java and leadership skills.
    • Architect scalable designs for applications accessing large financial data sets
    • Develop and unit test against that architecture
    • Mentor other developers both in USA and overseas
    • Conduct code reviews
    • Assist with the troubleshooting of production support issues
    • Enjoy the challenge of researching data issues to maintain quality in our large data sets
    • Gain an understanding of the complex math associated with Options


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