2

Entry Level Databricks Data Engineer Jobs in Richmond, VA

Data Engineer (763232)

Richmond, VA · On-site

$112K - $134K/yr

Responsibilities : • Strong Data engineering fundamentals. • Utilize Big data frameworks like Spark/Databricks. • Training LLMs with structed and unstructured data sets. • Understanding of ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Data Engineer Location: Richmond/Mclean/VA (Onsite Hybrid Mode) Duration: 12 months, with a ... Databricks Prior Capital One experience (current or former contractor/employee)

Data Engineer

Fort Gregg Adams, VA · On-site

$80K - $90K/yr

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer

Petersburg, VA · On-site

$80 - $100/hr

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer

Fort Gregg Adams, VA · On-site

$80K - $90K/yr

Data Engineer Job Locations US-VA-Fort Gregg-Adams ID 2026-14408 # of Openings 1 Overview LMI is a ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer

Fort Gregg Adams, VA · On-site

$80K - $90K/yr

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

SQL Data Engineer//W2 Contract

Richmond, VA · On-site

$113K - $136K/yr

SQL Data Engineer Location: Richmond, VA Work Arrangement: Hybrid Contract on W2 Project Overview ... Experience with Snowflake and/or Databricks * Experience with AI automation * Strong testing and ...

Data Modeler

Richmond, VA · On-site

$53.50 - $69.50/hr

Hands\-on data engineering experience with Databricks and Spark \n \n * Hands\-on experience in design, implementation and optimization of technical Data Pipelines \n \n \n * Hands\-on experience in ...

next page

Showing results 1-20

Entry Level Databricks Data Engineer information

See Richmond, VA salary details

$29.7K

$68.6K

$116.8K

How much do entry level databricks data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for entry level databricks data engineer in Richmond, VA is $68,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,700.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What are the most commonly searched types of Databricks Data Engineer jobs in Richmond, VA?

The most popular types of Databricks Data Engineer jobs in Richmond, VA are:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in Richmond, VA?

For Entry Level Databricks Data Engineer jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in Richmond, VA look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Entry Level Databricks Data Engineer jobs?

Cities near Richmond, VA with the most Entry Level Databricks Data Engineer job openings:

Infographic showing various Entry Level Databricks Data Engineer job openings in Richmond, VA as of August 2026, with employment types broken down into 55% Full Time, 24% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $68,643 per year, or $33 per hour.

Data Engineer (763232)

Richmond, VA • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees

$112K - $134K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
RIT Solutions, Inc. is a company seeking to hire a Data Engineer to work on various data engineering projects. The role involves utilizing big data frameworks, training LLMs with structured and unstructured datasets, and implementing Azure machine learning services.
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.
Qualifications:
Required:
• 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.
• Bachelor's or master's degree in computer science, AI, Data Science, or a related field.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.