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Data Engineer Entry Level Jobs in Springfield, VA

Black Cape Inc.

Full Stack Software Engineer

Arlington, VA · On-site

$120 - $180/hr

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Springfield, VA

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 Sep 7, 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 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 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 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:

Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.

Cyber Risk Data Engineer/Analyst

Technomics, Inc.

Arlington, VA • On-site

Full-time

Re-posted 28 days ago

Job description

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster . We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts use problem-solving principles, processes and methods and complementary software applications to support client engagements and have a direct and significant impact on deliverables to clients. Your work will be guided by more experienced team members, but you will work with autonomy.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position may be located in Arlington, VA (Headquarters), Washington D.C., Pentagon, Springfield, VA., Chantilly, VA., Tysons Corner, VA.
Description:
We are seeking a Cyber Risk Data Engineer/Analyst. This role focuses on the data side of cyber risk management � capturing outputs from senior SMEs, tagging and structuring data, and building data-driven capabilities that support proactive risk identification.
The ideal candidate is detail-oriented and eager to grow in the cybersecurity field.
You will help organize and manage risk assessment data, connect outputs to external threat/vulnerability databases (e.g., CVE/NVD, MITRE ATT&CK), and develop structured knowledge bases that allow for trend analysis and lessons learned.
This position is perfect for someone who wants to learn from senior SMEs while building technical skills in data analysis, visualization, and cyber risk management. You'll play a key role in helping clients shift from reactive reporting to proactive risk detection.
Clearance Required: Active DOE Q or higher (or ability to obtain)
Key Responsibilities:
  • Support senior SMEs by collecting, organizing, and structuring cyber risk assessment outputs into usable datasets and knowledge repositories.
  • Implement data tagging, metadata standards, and knowledge capture practices to enable traceability and lessons-learned reuse across assessments.
  • Connect assessment data with external threat and vulnerability databases (e.g., MITRE ATT&CK, CVE/NVD, vendor advisories) to enrich analysis and support proactive risk identification.
  • Develop and maintain structured datasets, dashboards, or knowledge management tools that allow for trend analysis and predictive insights.
  • Assist in building data-driven capabilities to shift risk management from reactive reporting toward proactive detection and trend anticipation.
  • Work closely with senior cyber SMEs to ensure data accurately reflects risk findings, mitigation considerations, and enterprise impacts.
  • Support the development of data visualization products, analytic reports, and briefing materials for leadership.
  • Contribute to the maturation of the clients risk knowledge base by aligning historical assessment data with new findings.

Required Qualifications:
  • 1�3 years of experience in cybersecurity, data analysis, or IT risk management.
  • Familiarity with cybersecurity frameworks such as NIST SP 800-30, RMF, or MITRE ATT&CK (coursework, internships, or entry-level experience acceptable).
  • Demonstrated experience with data analysis, organization, and visualization (Excel, Power BI, Tableau, or similar).
  • Ability to work with structured and unstructured data, including tagging, metadata, and relational mapping.
  • Strong written and verbal communication skills to document findings and support SME deliverables.

Preferred Qualifications:
  • Experience supporting national security organizations.
  • Familiarity with cyber threat and vulnerability databases (CVE, NVD, CISA KEV catalog, vendor advisories).
  • Coursework or hands-on exposure to Python, SQL, or other scripting tools for data handling.
  • Technical certifications such as Security+.
  • Understanding of knowledge management or data governance practices.
  • Ability to work in a team-oriented, high-paced environment and interact with both technical and non-technical stakeholders.

Work Environment:
  • Hybrid role with D.C.-based work and travel to client and partner sites to support SME risk assessment teams.
  • Focused on the data side of mission assurance � building knowledge bases, connecting data sources, and supporting proactive cyber risk identification.
  • Collaborative setting with senior SMEs, engineers, and mission partners, requiring adaptability, attention to detail, and an eagerness to learn.
  • Provides strong career growth opportunities in cyber risk analysis, data science, and national security mission assurance.

Salary range: $70,000- 115,000 USD
The salary range listed is one part of our total compensation package, which may also include bonuses, incentives and benefits. Individual compensation is determined based on qualifications such as relevant years of experience, education, certifications and geographic location
Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.

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