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Entry Level Data Engineering Jobs in Springfield, VA

ECS

Junior Data Engineer

Falls Church, VA · On-site

This is an entry-level engineering position well-suited for early-career professionals seeking hands-on experience in enterprise data engineering within a classified federal environment. • Supports ...

Pwc

Data Engineer - Senior Associate

Washington, DC

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SZNS Solutions

Software Engineer

Reston, VA

... data engineering, blockchain, and cloud-native software application development. We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and fast ...

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Entry Level Data Engineering information

See Springfield, VA salary details

$12

$21

$32

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

As of Jun 19, 2026, the average hourly pay for entry level data engineering in Springfield, VA is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

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 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.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

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.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
What are popular job titles related to Entry Level Data Engineering jobs in Springfield, VA? For Entry Level Data Engineering jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Springfield, VA look for? The top searched job categories for Entry Level Data Engineering jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Entry Level Data Engineering jobs? Cities near Springfield, 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 Springfield, VA as of June 2026, with employment types broken down into 2% As Needed, 67% Full Time, 30% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $43,973 per year, or $21.1 per hour.
Junior Data Engineer

Junior Data Engineer

ECS

Falls Church, VA • On-site

Full-time

Posted 15 days ago

Job description

Everforth ECS is seeking a Junior Data Engineer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax. Please Note: This position is contingent upon contract award.
The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business and financial data from operational warfighting data, aiming to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.
The Junior Data Engineer supports the construction and day-to-day operation of WDP data pipelines across multiple classification enclaves, contributing to the platform's mission of delivering reliable, analytics-ready data to warfighters and mission partners. This is an entry-level engineering position well-suited for early-career professionals seeking hands-on experience in enterprise data engineering within a classified federal environment.
• Supports construction and operation of War Data Platform (WDP) Core Integration data pipelines by developing ingestion, transformation, and movement components across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.
• Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel.
• Performs data preparation tasks including schema mapping, format conversions, metadata tagging, and movement into bronze, silver, and gold medallion tiers.
• Executes baseline quality checks using profiling tools, validation rules, and drift-monitoring alerts to detect abnormalities within lake environments.
• Applies approved security, IAM, and data-handling patterns under guidance from senior engineers and cybersecurity personnel to support cybersecurity requirements for operational data handling.
• Supports Tier-2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures.
• Updates technical documentation, workflow diagrams, and pipeline inventories within SharePoint, Confluence, and GitLab repositories.
• Tracks performance indicators including data freshness, pipeline run duration, and feature availability, contributing analytical inputs for engineering decision-making.
• Coordinates with developers, platform engineers, and data operations specialists to support routine updates, backlog work, and deployment activities.
• Contributes to operational readiness by executing repeatable engineering tasks that maintain pipeline continuity, strengthen data usability, and support enterprise analytics across mission communities.
• Performs other duties as assigned.
• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• Up to 3 years of experience in data engineering, software development, or a closely related technical discipline, with foundational exposure to data pipeline construction, ETL workflows, or cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Working knowledge of Python and/or SQL, with familiarity with at least one data orchestration or processing tool such as Apache Airflow, Apache Spark, or AWS Glue.

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