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Entry Level Data Engineering Jobs in Virginia (NOW HIRING)

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... Collaborate with engineering and analytics teams to turn analytical insights into production-ready ...

Hadronts

Entry Level Java developer

Richmond, VA

... you. Entry Level Java developer Overview: HADRONTS offers customers a distinctive blend of ... Perform data analysis to support internal and external project needs. Design basic programs for ...

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Entry Level Data Engineering information

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$11

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

As of May 29, 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 Engineering job?

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 are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

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.

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.
More about Entry Level Data Engineering jobs
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 May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $41,737 per year, or $20.1 per hour.
M365 Platform Developer with Security Clearance

M365 Platform Developer with Security Clearance

Falconwood Inc.

Suffolk, VA • Hybrid

Other

Posted 20 days ago

Job description

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO).

This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFOR's data strategy. This is a hybrid position based in Suffolk, VA, with limited travel anticipated.

Responsibilities: Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms Assist in the integration of structured and unstructured data sources to support analytics workflows Conduct data profiling, cleaning, transformation, and normalization activities Apply machine learning and statistical analysis techniques to support mission-aligned use cases Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 3 years of experience in data analytics, data engineering, databases, visualization, and applied coding Clearance: Active Secret Clearance required Technical Skills: Must have 2+ years of experience developing and designing in Office 365 (O365) and Microsoft Power Platform business solutions to include Power Apps, Power Automate, Flow, DataVerse, and Power BI. Other abilities required: Experience working with SharePoint Online and/or On-Premise environments. * Configuring, troubleshooting, and managing advanced SharePoint security and permission structures.

Designing or implementing SharePoint sites utilizing a flat architecture model and modern design templates. The ability to evaluate business requirements to determine when a solution requires custom Power Platform integration rather than relying on SharePoint out-of-the-box (OOTB) features. * *Enterprise-level experience developing business solutions within the Microsoft Power Platform.

Managing and implementing Power Platform security roles, data policies, and access controls. Developing and deploying custom applications to production using Power Apps. * Designing, testing, and implementing complex automated workflows using Power Automate.

Practical experience building, connecting data to, and publishing dashboards using Power BI. Experience with configuration, deployment, and lifecycle management of different Power Platform environments (e.g., Dev, Test, Prod). * Designing or adapting application architectures to comply with specific Microsoft Power Platform licensing tiers or constraints.

Utilizing Microsoft Dataverse as a primary backend data source for enterprise applications Desirable: Using Power FX: Crafting formulas to enable complex functions and logic within the applications, as per the business requirements. SharePoint Online (SPO) The Candidate: Must be technically savvy and possess excellent communication skills Must have effective critical thinking and problem-solving skills Must be self-motivated and able to deliver with minimal supervision * Proficient in Microsoft Word, Excel, PowerPoint, and Outlook This is a fast paced and high demand position that is onsite in Suffolk, VA. Limited to no travel is anticipated.

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About Falconwood

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Arlington, VA, US

Year founded

2002

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