Overview
On Site
Hybrid
USD 90.00 per hour
Full Time
Skills
Computer Science
Extract
Transform
Load
Scripting
Big Data
Training
Unstructured Data
Graph Databases
Storage
Databricks
Computer Vision
Video
Media
Apache Spark
Algorithms
Python
Machine Learning (ML)
Cloud Computing
Microsoft Azure
Geographic Information System
Forecasting
Data Quality
Facilitation
Data Flow
Large Language Models (LLMs)
Data Architecture
Database
Data Engineering
Management
ELT
Analytical Skill
Data Science
Vector Databases
Collaboration
Artificial Intelligence
Data Storage
Statistics
Job Details
Date Posted: 05/06/2025
Hiring Organization: Rose International
Position Number: 482280
Job Title: Agentic Data Engineer
Job Location: Richmond, VA, USA, 23219
Work Model: Hybrid
Employment Type: Temporary
Estimated Duration (In Weeks): 6
Min Hourly Rate($): 90.00
Max Hourly Rate($): 105.00
Must Have Skills/Attributes: Azure, Big Data, ETL, GIS Products, Python
Job Description
***Only qualified Agentic Data Engineer candidates located near the Richmond, VA area to be considered due to the position requiring an onsite presence***
Required Education:
Bachelor's or master's degree in computer science, AI, Data Science, or a related field
Required Skills:
Understanding the Big Data Technologies (1 Year)
Experience developing ETL and ELT pipelines (1 Year)
Experience with Spark, Graph DB, Azure Databricks (1 Year)
Expertise in Data Partitioning (1 Year)
Experience with Data conflation (3 Years)
Experience developing Python Scripts (3 Years)
Experience training LLMs with structured and unstructured data sets (2 Years)
Experience with GIS spatial data (3 Years)
Qualifications:
Strong Data engineering fundamentals
Utilize Big Data frameworks like Spark/Databricks
Training LLMs with structured and unstructured data sets
Understanding of Graph DB
Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks
Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search?
Determine effective data partitioning criteria
Utilize data storage system spark to implement partition schemes
Understanding core machine learning concepts and algorithms
Familiarity with Cloud computing skills
Strong programming skills in Python and experience with AI/ML frameworks
Proficiency in vector databases and embedding models for retrieval tasks
Expertise in integrating with AI agent frameworks
Experience with cloud AI services (Azure AI)
Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo-locate between datasets, correlation etc.)
Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze?data models, connect & correlate?information to validate?hypotheses, forecast, predict and recommend?potential strategies and conduct What-if analysis
Client is seeking a highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems, ensure data quality and facilitating interaction between agents and data
Job responsibilities:
Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources
Ability to train and fine tune large language models
Design and build the data architecture, including databases, data lakes to support various data engineering tasks
Develop and manage Extract, Load, transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science
Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems
Work with vector databases to store and retrieve embeddings efficiently
Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications
Optimize data storage and retrieval with high performance
Statistical analysis, trends, patterns to create data formats from multiple sources
Estimated Start Date: 05/19/2025
Interview Process: Both Phone and In Person
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 482280
Job Title: Agentic Data Engineer
Job Location: Richmond, VA, USA, 23219
Work Model: Hybrid
Employment Type: Temporary
Estimated Duration (In Weeks): 6
Min Hourly Rate($): 90.00
Max Hourly Rate($): 105.00
Must Have Skills/Attributes: Azure, Big Data, ETL, GIS Products, Python
Job Description
***Only qualified Agentic Data Engineer candidates located near the Richmond, VA area to be considered due to the position requiring an onsite presence***
Required Education:
Bachelor's or master's degree in computer science, AI, Data Science, or a related field
Required Skills:
Understanding the Big Data Technologies (1 Year)
Experience developing ETL and ELT pipelines (1 Year)
Experience with Spark, Graph DB, Azure Databricks (1 Year)
Expertise in Data Partitioning (1 Year)
Experience with Data conflation (3 Years)
Experience developing Python Scripts (3 Years)
Experience training LLMs with structured and unstructured data sets (2 Years)
Experience with GIS spatial data (3 Years)
Qualifications:
Strong Data engineering fundamentals
Utilize Big Data frameworks like Spark/Databricks
Training LLMs with structured and unstructured data sets
Understanding of Graph DB
Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks
Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search?
Determine effective data partitioning criteria
Utilize data storage system spark to implement partition schemes
Understanding core machine learning concepts and algorithms
Familiarity with Cloud computing skills
Strong programming skills in Python and experience with AI/ML frameworks
Proficiency in vector databases and embedding models for retrieval tasks
Expertise in integrating with AI agent frameworks
Experience with cloud AI services (Azure AI)
Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo-locate between datasets, correlation etc.)
Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze?data models, connect & correlate?information to validate?hypotheses, forecast, predict and recommend?potential strategies and conduct What-if analysis
Client is seeking a highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems, ensure data quality and facilitating interaction between agents and data
Job responsibilities:
Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources
Ability to train and fine tune large language models
Design and build the data architecture, including databases, data lakes to support various data engineering tasks
Develop and manage Extract, Load, transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science
Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems
Work with vector databases to store and retrieve embeddings efficiently
Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications
Optimize data storage and retrieval with high performance
Statistical analysis, trends, patterns to create data formats from multiple sources
Estimated Start Date: 05/19/2025
Interview Process: Both Phone and In Person
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.