

Agentic AI Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Data Engineer on a long-term contract in Richmond, VA. Requires 10+ years in data science, advanced Python/R, SQL, and Big Data frameworks. Experience with machine learning, GIS spatial data, and a relevant degree is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 9, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Corp-to-Corp (C2C)
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π - Security clearance
Unknown
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π - Location detailed
Richmond, VA
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π§ - Skills detailed
#Azure Databricks #Data Framework #Computer Science #Spark (Apache Spark) #Databricks #R #Databases #AI (Artificial Intelligence) #Data Engineering #SQL (Structured Query Language) #ML (Machine Learning) #Data Science #Azure #Supervised Learning #Big Data #Python #GIT #Spatial Data #Statistics #Unsupervised Learning
Role description
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DataStaff, Inc is in need of an Agentic AI Data Engineer for a long-term contract opportunity with one of our direct clients located in Richmond, VA.
β’ This position is hybrid; the selected candidate will need to come to Richmond quarterly.
Responsibilities:
β’ Design, develop, train and deploy data models that leverage agentic AI that solve real-world problems.
β’ Gather business needs and translate them to analytics.
β’ Produce code that is clearly documented and maintain a version-control system.
β’ Develop machine learning models that will address business needs.
β’ Effectively communicate analytics results to a range of stakeholders.
Qualifications:
β’ Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
β’ Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
β’ 10+ years of leading data science projects or teams.
β’ Gathers business requirements needed for analytics.
β’ Experience mentoring or guiding junior team members.
β’ Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.
β’ Experience with Big Data frameworks like Spark/Databricks.
β’ Experience with code version-control systems such as Git.
β’ Degree in Computer Science, AI, Data Science, or a related field.
Required Skills:
β’ 10 Years - Advanced proficiency in Python and/or R
β’ 10 Years - Knowledge of SQL Databases
β’ 5 Years - Experience with Spark, GraphDB, Azure Databricks
β’ 4 Years - Experience training LLMs with structured and unstructured data sets
β’ 4 Years - Experience with Machine Learning
β’ 2 Years - Experience with GIS spatial data
Desired Skills:
β’ Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics)
This opportunity is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.