Python Developer -- W2

Job Title: Python Developer

Location: McLean, VA

Duration: 6 months (Contract 2 Hire)

MOI: Face 2 Face

Visa: US Citizen or Green Card

Note:

• C2H - Fully onsite, 5 days a week.
• Must interview In-person – 90 minutes technical round (coding + numerical problem-solving).

Vetting Question

Candidates are prepared to speak about:

• Their most recent development project
• Technologies and tools used
• Whether they lean more toward Python or Java
• Any experience related to machine learning or data streaming
• Interview preference is for Python, with emphasis on numerical logic and Pandas

Notes from (Tech Lead):

• Open to candidates who are very strong in either Python or Java
• Priority is given to analytical/mathematical strength, then technical stack
• Willing to train someone strong in one language who shows potential to pick up the other
• No hard preference for language – the goal is quality, aptitude, and adaptability
• Must be able to demonstrate strong, independent problem-solving on video (cheating will be flagged immediately)

Description

Ideal Candidate Profile

• 5+ years of strong development experience in Java, Python, or both
• Must have strong mathematical aptitude and experience with data streaming platforms
• Familiarity with machine learning frameworks like NumPy and Pandas
• Spring Boot (Java) and Flask (Python) experience required
• Must be able to code comfortably in Python or Java, with preference toward aptitude and ability to learn quickly
• Preference: Someone strong in either Java or Python is acceptable if they demonstrate strong numerical and problem-solving skills

Project Context

The project focuses on market trading and pricing prediction. It collects data from sources like Bloomberg and trading exchanges, then uses machine learning algorithms trained nightly (on 5-day trading data) to predict realistic price spreads.

• The front-end service is built in Java to integrate with enterprise tech/APIs
• The back-end machine learning models are in Python, training data daily and interfacing with Java services
• This project provides a valuable opportunity for candidates interested in real-world applications of ML in trading