Agentic AI Data Engineer - Face to Face Interview
Centraprise · Baltimore, Maryland, United States
FULL TIMEpermanent
Job Description
Agentic AI Data EngineerBaltimore, MD (Hybrid)12+ Months Contract
Is this the role you are looking for If so read on for more details, and make sure to apply today.
Job Description:
Required Skills and Experience:10+ 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. xzbcwsv Collaborate with business and technical teams to deliver scalable, AI-enabled enterprise data and analytics solutions.
Is this the role you are looking for If so read on for more details, and make sure to apply today.
Job Description:
Required Skills and Experience:10+ 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. xzbcwsv Collaborate with business and technical teams to deliver scalable, AI-enabled enterprise data and analytics solutions.
Details
| Company | Centraprise |
| Location | Baltimore, Maryland, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |