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Entry Level Ai Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Falls Church, VA ยท Hybrid

$81K - $105K/yr

No As a Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your ... We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Mclean, VA ยท On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Mclean, VA ยท On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Mclean, VA ยท On-site

$62K - $141K/yr

R0244560 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep ...

Data Engineer

Chantilly, VA ยท On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Alexandria, VA ยท On-site

$62K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Entry Level Ai Data Engineer information

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

What are the most commonly searched types of Ai Data Engineer jobs in Virginia?

The most popular types of Ai Data Engineer jobs in Virginia are:

What are popular job titles related to Entry Level Ai Data Engineer jobs in Virginia?

For Entry Level Ai Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Engineer jobs in Virginia look for?

The top searched job categories for Entry Level Ai Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Ai Data Engineer jobs?

Cities in Virginia with the most Entry Level Ai Data Engineer job openings:

Agentic AI Data Engineer@Richmond, VA F2F

ibrain technologies, inc

Richmond, VA โ€ข On-site

$113K - $136K/yr

Contractor

Re-posted 15 days ago


Job description

Agentic AI Data Engineer
Richmond, VA Hybrid & F2F Interview
12 Months
 
Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems
 Experience training LLMs with structured and unstructured data sets
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. 
   
Responsibilities:  
Strong Data engineering fundamentals 
Utilize Big data frameworks like Spark/Databricks 
Training LLMs with structed 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.   
Bachelor's or master's degree in computer science, AI, Data Science, or a related field. 
 

Regards,

Deva

iBrain Technologies, INC. | A Certified Minority Business Enterprise

Email:deva@ibrain-tech.com

Phone Direct: 636-489-0678

www.ibrain-tech.com