Agentic AI Data Engineer

Quantum Technologies. LLC; Baltimore (MD); On-site; USD 140,000 - 200,000; Full time

Job summary

Quantum Technologies. LLC in the United States is seeking an experienced data engineer to design and maintain Snowflake pipelines, build AI-driven automation, and modernize legacy data systems.

You will collaborate with business and technical teams to accelerate data insights and deliver AI-enabled analytics across enterprise data architecture.

Qualifications

• 8+ years of IT experience in data engineering, analytics, and enterprise data systems.

Responsibilities

• Design, develop, and maintain scalable Snowflake data pipelines using Python and advanced SQL.

Skills

Python

SQL

ETL pipelines

AI agents

AI automation

Legacy modernization

Data warehousing

Dimensional modeling

AWS

Airflow

Unix shell

dbt

Slingshot

Tools

Snowflake

dbt

Python

SQL

ETL

Airflow

Lambda

Step Functions

ECS

Unix shell scripting

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

Required Skills and Experience

• 8+ years of IT experience in data engineering, analytics, and enterprise data systems.
• Strong hands-on experience with Snowflake, Python, advanced SQL, and ETL pipeline development.
• Strong knowledge of AI agents, AI-driven automation, and integrating AI capabilities into data engineering workflows.
• Experience building AI-powered tools, accelerators, and solutions to improve data analysis, automation, and engineering productivity.
• Experience with legacy system modernization, reverse engineering, and forward development, with a focus on leveraging AI to analyze legacy code and data pipelines.
• Strong understanding of AWS services, including Lambda, Step Functions, and ECS.
• Experience with Airflow, Unix shell scripting, and data warehouse concepts.
• Knowledge of dimensional data modeling and modern enterprise data architecture.
• Experience with dbt is a plus.
• Experience with Slingshot and building tools and accelerators for data analysis.
• Experience building and maintaining enterprise-wide data and analytics systems.
• Experience in financial services, asset management, or financial markets is preferred.

Roles and Responsibilities

• Design, develop, and maintain scalable Snowflake data pipelines using Python and advanced SQL.
• Develop and implement AI agent-based solutions to automate data engineering tasks, accelerate analysis, and improve workflow efficiency.
• Leverage AI tools and techniques for legacy code analysis, reverse engineering, documentation, and data pipeline modernization.
• Build AI-powered tools and accelerators to support enterprise data analysis, code transformation, and modernization initiatives.
• Modernize legacy applications, codebases, and data pipelines through reverse engineering and forward development.
• Build and optimize ETL workflows, dimensional models, and data warehouse solutions.
• Integrate AWS services to support data processing, orchestration, and automation.
• Collaborate with business and technical teams to deliver scalable, AI-enabled enterprise data and analytics solutions.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.