2

Data Engineer Entry Level Jobs in Springfield, 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 ...

... 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 ...

... 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 ...

AECOM is seeking an Entry Level Geotechnical Engineer to join the East Region Dams Team. This ... data reports, geotechnical design reports, memoranda and technical specifications. * Coordinate ...

AECOM is seeking an Entry Level Geotechnical Engineer to be based in Germantown, MD. This position ... data reports, geotechnical design reports, memoranda and technical specifications. * Coordinate ...

next page

Showing results 1-20

Data Engineer Entry Level information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

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

As of Jul 17, 2026, the average yearly pay for data engineer entry level in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Springfield, VA? The most popular types of Data Engineer jobs in Springfield, VA are:
What are popular job titles related to Data Engineer Entry Level jobs in Springfield, VA? For Data Engineer Entry Level jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Springfield, VA look for? The top searched job categories for Data Engineer Entry Level jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Data Engineer Entry Level jobs? Cities near Springfield, VA with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Springfield, VA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.
Data and AI Analyst

Other

Posted 2 days ago

New


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services


Job description

Data and AI Analyst 

Start Your Career Where Innovation Meets Purpose 

At Accenture Federal Services, we help the U.S. federal government make the nation stronger, safer, and better for all. Our 13,000+ team members are united by a shared purpose: to harness the limitless potential of technology and human ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.  

Join a collaborative and caring community where you belong, and where your growth is our priority. As an entry-level analyst, you'll gain hands-on experience, earn industry certifications, and receive structured training that builds on your engineering mindset-applying creativity and analytical thinking to solve real-world challenges.  

We're writing the playbook for how to be the most AI-enabled, client-focused, and people-first organization. Our reinventors are driving faster value for clients and shaping the future of government services.  

Are you ready to reinvent what's possible?  

It's your career, your life, and your choice. Let's build something that matters-together.  

The Opportunity 

At AFS, our Data & AI Analysts help federal agencies unlock the power of data and artificial intelligence to drive smarter decisions, faster operations, and better outcomes for the nation. You'll begin your journey with immersive training in data engineering, analytics, and AI integration-building the skills to solve complex challenges across defense, national security, and civilian sectors.   

In this role, you'll apply your engineering mindset to design and implement data-driven solutions using modern tools, cloud platforms, and AI frameworks. You'll work side-by-side with teammates to experiment with emerging technologies, adopt next-generation IT, and deliver mission-critical insights that move government forward.   

What You'll Do: 

  • Design, build, and maintain data pipelines and analytics platforms using tools like Python, SQL, Spark, and cloud-native services. 
  • Apply machine learning and AI techniques to extract insights, automate processes, and support predictive decision-making. 
  • Leverage frameworks such as Agentic AI to develop intelligent systems that adapt and respond to dynamic mission needs. 
  • Visualize data and communicate findings using tools like Tableau, Power BI, and custom dashboards. 
  • Collaborate with cross-functional teams to integrate AI models into operational workflows and ensure responsible, secure use of data. 
  • Experiment with emerging technologies and next-gen architectures to accelerate solution delivery and scale impact. 

What You'll Learn 

  • AI engineering and model deployment using platforms like TensorFlow and PyTorch. 
  • Data architecture, cloud analytics, and scalable data processing on AWS, Azure, or GCP. 
  • Responsible AI practices, data governance, and ethical use of machine learning in federal environments. 
  • Agile delivery, DevSecOps, and continuous learning through certifications and mentorship. 

Basic Qualifications 

  • Bachelor's or Master's degree in a STEM or adjacent field (e.g., Computer Science, Statistics, Mathematics, Data Science), with graduation by August 31, 2026. 
  • Engineering background with foundational skills in data analysis, programming, and problem-solving.  
  • U.S. citizenship required (due to federal contract requirements) 
  • Ability to travel 25-50% preferred, but requirements vary by team and location. 

Preferred Qualifications 

  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred) from a 4-year accredited institution.  
  • Hands-on experience with Palantir Foundry and Databricks. 
  • Experience with multiple programming languages, modern frameworks, cloud platforms, databases, and/or AI technologies. 
  • Familiarity with data analysis and AI tools such as Python, R, SQL, Postgres, Tableau, Power BI, or machine learning platforms. 
  • Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly.  
  • Active security clearance or eligibility to obtain one. 

Work Model 

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.  

  • If this position is listed as remote or hybrid, you'll periodically work from an Accenture Federal or client site facility.  
  • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for a specific role.  

This is more than a job-it's a launchpad for a technical career in federal innovation. Whether you aspire to be a cloud engineer, AI integration specialist, or software architect, we'll support your growth with mentorship, certifications, and access to the latest technologies through the Analyst Development Program (ADP).  


What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom