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Entry Level Data Engineering Jobs in Virginia (NOW HIRING)

Technibus, Inc.

Project Engineer - Entry Level

Chester, VA · On-site

$62K - $82K/yr

Job Summary Supports the planning, coordination, and execution of data center construction and ... Ability to read and interpret engineering drawings with guidance. * Strong communication and ...

540

Associate Solutions Architect

Arlington, VA · Remote

$72.50 - $95.50/hr

This is an entry-level opportunity for a recent graduate or early-career professional who wants to ... Collaborate with Data Engineers and Technical Leads to resolve questions and keep implementation ...

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How much do entry level data engineering jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for entry level data engineering in Virginia is $20.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

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

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

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

The most popular types of Data Engineering jobs in Virginia are:

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

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

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

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

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

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

Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $41,737 per year, or $20.1 per hour.

Data Scientist Junior-Level 117-005

Springfield, VA • On-site

IC-CAP LLC
Computer Systems Design Services • 11 - 50 employees
Learn more about IC-CAP LLCexternal

Full-time

Re-posted 16 days ago

Job description

Junior-Level Data Scientistsupports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Implementing, part of team, executing tasks. These are still developmental labor positions. Services requiring junior level support will require a person to have slightly more experience than a full entry level while performing slightly more advanced skills than per an entry level. Understands and applies more advanced concepts and processes to tasks.
Education and Experience
Required:
  • Minimum of 3 years of experience -OR- Bachelor degree in STEM field
  • Proficient with Python and SQL

Desired
  • Knowledge of GEOINT collection and associated NGA/NRO systems
  • Proficiency with common programming languages including R, JavaScript, HTML, and CSS
  • Experience leveraging object oriented programming
  • Proficiency with visualization tools such as Grafana, Tableau, and Kibana
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Security Clearance:
  • Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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