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Entry Level Data Engineering Jobs in Alexandria, VA

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

As of Sep 5, 2026, the average hourly pay for entry level data engineering in Alexandria, VA is $21.66, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $23.41 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 Alexandria, VA?

The most popular types of Data Engineering jobs in Alexandria, VA are:

What are popular job titles related to Entry Level Data Engineering jobs in Alexandria, VA?

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

What job categories do people searching Entry Level Data Engineering jobs in Alexandria, VA look for?

The top searched job categories for Entry Level Data Engineering jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Entry Level Data Engineering jobs?

Cities near Alexandria, VA 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 Alexandria, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $45,058 per year, or $21.7 per hour.

AI Data Analyst with Security Clearance

LTC Solutions, LLC

Washington, DC • On-site

Other

Posted 14 days ago

Key responsibilities

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.

  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.

  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.

Job description

AI Data Analyst: Location: Hybrid (Supporting Pentagon, Arlington, VA) Status: Contingent Hire – Full-Time – Hybrid Clearance: US Citizens with Active TS/SCI Security Clearance (Required) MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools. Position Summary The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making. The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance. Required Qualifications U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
Experience collecting, cleaning, validating, and transforming structured datasets.
Working knowledge of relational databases, SQL queries, and data management principles.
Strong analytical, problem-solving, and technical communication skills.
Ability to work independently while collaborating effectively with senior analysts and Government personnel.
Preferred Qualifications Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
Experience developing automated data pipelines or reusable scripts.
Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
Experience creating interactive dashboards and executive visualization products.
Exposure to artificial intelligence, machine learning, or predictive analytics concepts.
Primary Duties Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
Research data anomalies, resolve inconsistencies, and document corrective actions.
Support integration of data from multiple Government systems into consolidated analytical datasets.
Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
Assist with testing, validating, and deploying analytical products before Government delivery.
Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
Perform additional analytical, scripting, automation, and reporting duties as assigned

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