Programming Language

Programming Language Finance Jobs

2 jobs found

30d ago

Data Engineer - Financial Industry

Code Willing, LLC New Orleans, LA

New Orleans, LA

30d ago Closed

$70k - $80k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Code Willing, LLC is seeking a Junior or Mid-Level Data Engineer to support data engineering initiatives in the financial sector. This hybrid role is based in New Orleans, LA 70130 and focuses on building reliable, high-performance ETL pipelines, improving data quality, and enabling timely data support for stakeholders.

Role Overview

In this position, you will design, implement, and optimize big data ETL pipelines for financial industry datasets. The work includes performance tuning, expanding a Python-based analysis code base, strengthening data quality standards, and supporting downstream stakeholders with transparent project updates.

Key Responsibilities

Design, implement, and refactor efficient big data ETL pipelines using Apache Airflow.
Optimize and expand an existing Python-based data analysis code base.
Develop multiprocessing and multithreading solutions for highly performant data ETL and analysis applications.
Develop and enhance a Data Quality code base and standards for Financial Industry datasets.
Provide data support to stakeholders, maintaining transparent communication and timely project status updates.
Stay current on emerging data engineering trends and technologies, contributing to continuous improvement of data practices.

Required Qualifications

Bachelor’s degree in Computer Science, Mathematics, or a related field; equivalent work experience may be considered in lieu of specific educational requirements.
2+ years of hands-on experience with Python and 2+ years with SQL in a professional setting.
Experience with Git and Linux.
Experience processing and managing large datasets.
Knowledge of financial industry data, particularly security reference data, end-of-day pricing, and trade/quote data. Primarily focused on Equities, Futures, and Fixed Income.
Strong analytical skills with the ability to collaborate across departments and teams.
Excellent problem-solving skills and strong attention to detail, with emphasis on performance tuning and optimization of data workflows.

Technologies

Apache Airflow
Python
SQL
Git
Linux
Multiprocessing
Multithreading
Claude Code

Preferred Qualifications

Certifications in AWS, Data Analytics, or similar technologies.
Claude Code and Agent experience is a plus.
Working knowledge or experience with Claude Code or equivalent tools is highly desirable.

Compensation and Job Details

Job type: Full-time
Location: Hybrid remote in New Orleans, LA 70130
Salary: USD 70,000 - 80,000 per year
Minimum experience: 2 years

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

View full job page →

1mo ago

AI Engineer - GenAI / Agentic Systems - Financial Services

Infosys Basking Ridge, NJ

Basking Ridge, NJ

1mo ago Closed

$117k - $148k/yr Full time Agentic Ai AI Artificial Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Infosys is seeking an AI Engineer for GenAI and agentic systems in financial services, onsite in Basking Ridge, NJ, with a salary ranging from USD 116,875 to 148,125 per year.

Responsibilities

Collaborate with banking and financial services stakeholders to identify the problem statement and participate in or lead solution design, including mapping the day in the life of an advisor and identifying critical manual flows for potential solutions.
Serve as Product Manager or Product Owner, working with architects and business SMEs to develop business requirements and AI solutions.
Design and implement GenAI solutions using LLMs such as Claude and OpenAI to address objectives like improving advisor productivity and enhancing operations in Corporate Actions, Portfolio Management, AML/KYC processes.
Construct agent-based workflows with frameworks including LangChain and Google ADK or comparable tools.
Develop RAG pipelines, semantic search, and knowledge-driven applications.
Apply prompt engineering, establish evaluation frameworks, and implement guardrails.
Test and validate final solutions to ensure alignment with business problems and optimize AI models and pipelines.
Coordinate with business and technology stakeholders to deliver the program.

Requirements

Experience in the financial services industry (capital markets or banking) with familiarity across front, middle, and back office operations or processes.
Understanding of the end-to-end value chain (wealth management, asset management, investment banking, etc.).
Experience defining AI-related KPIs and building a business case for AI adoption.
Proficiency in Python-based AI/ML development.
Solid understanding of LLMs and GenAI architectures.
Prompt engineering and chaining techniques.
Data processing and pipeline development.
Experience with Graph RAG and hands-on use of LangChain or similar frameworks.
Hands-on experience with Claude, OpenAI, or other LLM APIs in Graph RAG contexts.
Working knowledge of vector databases, embeddings, and semantic search.
Working knowledge of API integrations and microservices.