Agentic Data Engineer

Overview

Hybrid
$90 - $110
Contract - Independent
Contract - W2

Skills

Analytics
Apache Spark
Artificial Intelligence
Big Data
Computer Science
Data Science
Databricks
Evaluation
Geographic Information System
Git
Graph Databases
Machine Learning (ML)
Management
Mentorship
Microsoft Azure
Publications
Python
Research
SQL
Statistics
Training
Unstructured Data
Unsupervised Learning
Version Control

Job Details

Artificial Intelligence Engineer - Agentic Data Engineer

Location : Richmond, VA

Resource will need to be in Richmond, VA quarterly.

The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Artificial Intelligence Engineer 4- Agentic Data Engineer to design, develop, train and deploy data models that leverage agentic AI that solve real-world problems.

Responsibilities:

Gather business needs and translate them to analytics.

Produce code that is clearly documented and maintain a version-control system.

Develop machine learning models that will address business needs.

Effectively communicate analytics results to a range of stakeholders.

Qualifications:

Demonstrated ability to perform research and communicate analyses to a wide range of audiences.

Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.

10+ years of leading data science projects or teams.

Gathers business requirements needed for analytics.

Experience mentoring or guiding junior team members.

Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.

Experience with Big Data frameworks like Spark/Databricks.

Experience with code version-control systems such as Git.

Degree in Computer Science, AI, Data Science, or a related field.

VDOT - Artificial Intelligence Engineer - Agentic Data Engineer (766844)

Required / Desired Skills

Skill

Required / Desired

Response( Candidate Years of Experience)

Amount

of Experience

Advanced proficiency in Python and/or R

Required

10

Years

Knowledge of SQL Databases

Required

10

Years

Experience with Spark, GraphDB, Azure Databricks

Required

5

Years

Experience training LLMs with structured and unstructured data sets

Required

4

Years

Experience with Machine Learning

Required

4

Years

Experience with GIS spatial data

Required

2

Years

Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics)

Nice to have

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