Senior GenAI & AWS Data Engineer — Pipelines & MLOps

Delta System & Software, Inc.; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Delta System & Software, Inc. is seeking a senior data/ML engineering professional to design and maintain scalable data pipelines using Python, PySpark, SQL, and AWS services in a client-facing capacity.

The role emphasizes data modeling, ETL/ELT processes, and AI/ML model deployment support. Candidates should have experience with GenAI/LLMs and banking/financial services domains, along with experience in Netezza, SQL Server, and Sybase.

Qualifications

• Experience with large-scale data pipelines and enterprise-grade data platforms.
• Proficiency in Python, PySpark, SQL, and AWS services.
• GenAI/LLMs experience and client-facing consulting are a plus.

Responsibilities

• Develop and maintain scalable enterprise data pipelines using Python, PySpark, SQL, and AWS services.
• Perform large-scale data processing, data wrangling, reprocessing, data modeling, and ETL/ELT integration.
• Support MLOps, AI/ML model deployment, monitoring, and data-driven decision-making.

Skills

Data engineering

ML engineering

Data platforms

Client-facing consulting

Tools

Python

PySpark

SQL

AWS Bedrock

Copilot

Netezza

SQL Server

Sybase

Job description

Delta System & Software, Inc. is seeking a senior data/ML engineering professional to design and maintain scalable data pipelines using Python, PySpark, SQL, and AWS services in a client-facing capacity.

The role emphasizes data modeling, ETL/ELT processes, and AI/ML model deployment support. Candidates should have experience with GenAI/LLMs and banking/financial services domains, along with experience in Netezza, SQL Server, and Sybase.