Senior Python Engineer: Market Risk Data Pipelines

IT America Inc; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

IT America Inc in Jersey City invites a Senior Python Developer with Market Risk to join our Technology team onsite. You will design and build reliable Python data pipelines and curated datasets that power daily risk analytics, taking ownership from planning through production support.

Candidates should have 5-6 years of Python experience, strong data modelling, ETL/ELT know-how, and experience with CI/CD and stakeholder collaboration.

Qualifications

• 5-6 years of Python for data processing and automation.
• Experience with data modelling and ETL/ELT patterns.
• Experience with data quality checks and operational monitoring.
• Ability to take ownership of projects and coordinate across teams.
• Strong analytical and communication skills.

Responsibilities

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and optimization.
• Translate risk/business requirements into technical tasks and deliver features through Agile sprints.
• Automate routines (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation and mentor junior engineers.

Skills

Python

Data Pipelines

ETL/ELT

Data Quality Checks

Git CI/CD

Stakeholder Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Git

CI/CD tooling

Job description

IT America Inc in Jersey City invites a Senior Python Developer with Market Risk to join our Technology team onsite. You will design and build reliable Python data pipelines and curated datasets that power daily risk analytics, taking ownership from planning through production support.

Candidates should have 5-6 years of Python experience, strong data modelling, ETL/ELT know-how, and experience with CI/CD and stakeholder collaboration.