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Data Engineer Entry Level Jobs in Virginia (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Richmond, VA

$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

... in data engineering, blockchain, AI, 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 ...

Pae

Entry Level Software Engineer

Dahlgren, VA · On-site +1

Engineering, Math, Computers Science, and/or Physics with entry level experience. * Must have an ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Amentum

Entry Level Software Engineer

Dahlgren, VA · On-site

Engineering, Math, Computers Science, and/or Physics with entry level experience. * Must have an ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

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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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Virginia

Data Engineer Entry Level information

See Virginia salary details

$44.1K

$128.6K

$176K

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

As of Jun 9, 2026, the average yearly pay for data engineer entry level in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Virginia? The most popular types of Data Engineer jobs in Virginia are:
What are popular job titles related to Data Engineer Entry Level jobs in Virginia? For Data Engineer Entry Level jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Virginia look for? The top searched job categories for Data Engineer Entry Level jobs in Virginia are:
What cities in Virginia are hiring for Data Engineer Entry Level jobs? Cities in Virginia 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 Virginia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Entry Level Data Analyst/Scientist (Remote) with Gen AI skills

Entry Level Data Analyst/Scientist (Remote) with Gen AI skills

SynergisticIT

Blacksburg, VA • On-site, Remote

Other

Posted 10 days ago

Job description

Career Gap? Outdated Tech stack? Get Interviews and get Hired with a Process!

Many job seekers assume their skills have expired simply because they’ve been out of the workforce or recently laid off. But the truth is, your foundation is still valuable — it just needs sharpening. Despite layoffs and market shifts, the tech industry still needs skilled developers.

The challenge is proving you’re ready to contribute. Rejections can be discouraging, but they don’t reflect your true potential — they reflect your preparation. Re‑entering the tech industry can feel overwhelming, especially after a layoff or career gap.

But you don’t have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you’ve been unemployed for 3–6+ months—or longer—you’ve probably seen how quickly the market can change.

A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don’t define ability.

They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current?

Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically.

Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

How OPT Students Can Land Tech Jobs – SynergisticIT Why programs don’t fix gaps Many candidates with gaps try “one more course,” but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation?

If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ A gap isn’t the end of your career. It’s a chapter—and you can write the next one strategically. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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