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Data Engineer Entry Level Jobs in Reston, VA (NOW HIRING)

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... 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 ...

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... 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 ...

SZNS Solutions LLC

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 ...

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... 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

Entry-Level Geotechnical Engineer

Germantown, MD · On-site

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 ...

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

Data Engineer Entry Level information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Jun 21, 2026, the average yearly pay for data engineer entry level in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

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.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

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.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

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 Reston, VA? The most popular types of Data Engineer jobs in Reston, VA are:
What are popular job titles related to Data Engineer Entry Level jobs in Reston, VA? For Data Engineer Entry Level jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Reston, VA look for? The top searched job categories for Data Engineer Entry Level jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineer Entry Level jobs? Cities near Reston, 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 Reston, VA as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Tax Innovation & Delivery Experience - Data Engineering - Experienced Associate

Tax Innovation & Delivery Experience - Data Engineering - Experienced Associate

Pwc

Washington, DC • On-site

$63K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Associate

Job Description & Summary

The Opportunity
As a Tax Innovation & Delivery Experience - Data Engineering - Experienced Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As an Associate, you will engage in learning and contributing to client projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role within our Tax practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will work in a fast-paced environment, adapting to various clients and team members, each presenting unique challenges. This position offers the chance to take ownership and consistently deliver quality work that drives value for clients and success as a team. As you navigate through the firm, you will build a brand for yourself, opening doors to more opportunities.
Responsibilities
- Designing and developing data infrastructure and systems to enable efficient data processing and analysis
- Implementing data pipelines, data integration, and data transformation solutions to support client needs
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data solutions
- Applying database optimization techniques to enhance performance and reliability
- Developing data architecture and modeling strategies to support business growth
- Validating data quality and security within data engineering frameworks
- Collaborating with team members to gather information and analyze data patterns
- Adapting to diverse client environments and challenges to deliver consistent quality work
- Building a personal brand through reliable contributions and ownership of tasks
- Engaging in active listening and accepting feedback to foster personal growth and development
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks
- Utilizing skills in data architecture development and data integration
- Applying knowledge of Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
- Engaging in data modeling and dimensional modeling techniques
- Excelling in database optimization and query optimization
- Adapting to fast-paced environments and diverse client needs

Travel Requirements

0%

Job Posting End Date

The salary range for this position is: $63,000 - $153,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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