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Data Engineer Entry Level Jobs in Washington, DC

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Washington, DC

Data Engineer Entry Level information

See Washington, DC salary details

$50.3K

$146.5K

$200.4K

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

As of Sep 4, 2026, the average yearly pay for data engineer entry level in Washington, DC is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $155,300.00 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 Washington, DC?

The most popular types of Data Engineer jobs in Washington, DC are:

What are popular job titles related to Data Engineer Entry Level jobs in Washington, DC?

For Data Engineer Entry Level jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Washington, DC look for?

The top searched job categories for Data Engineer Entry Level jobs in Washington, DC are:

Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

.NET Developer (Entry Level)

ASSYST, Inc.

Sterling, VA

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago

Job description

ASSYST is seeking a motivated and detail-oriented .NET Developer (Entry Level) to join our growing development team in Sterling, VA (Onsite role). 

This is an excellent opportunity for an early-career software developer to gain hands-on experience with modern .NET technologies while contributing to enterprise-grade applications in an Agile environment.

Responsibilities:

  • Develop and enhance full-stack web applications, contributing to both user-facing features and backend services.
  • Build clean, scalable, and maintainable application components and APIs.
  • Develop responsive and user-friendly interfaces using modern web development technologies.
  • Work with relational databases, including data modeling, queries, and application integration.
  • Participate in solution design, code reviews, testing, troubleshooting, and continuous improvement.
  • Collaborate closely with senior developers, QA engineers, product teams, and other stakeholders to deliver high-quality software.
  • Stay current with modern software development practices and emerging technologies to continuously improve development skills and application quality.

Requirements:

  • 0-2 years of hands-on software development experience through internships, academic or personal projects, bootcamps, or early-career roles.
  • Strong foundational knowledge of C#, .NET, and object-oriented programming concepts.
  • Understanding of HTML, CSS, JavaScript, and basic web application and API concepts.
  • Familiarity with relational databases and SQL.
  • Basic experience with Git or other version control systems.
  • Willingness to learn across both front-end and back-end development, with a proactive approach to problem-solving.
  • Good communication, collaboration, and analytical skills.
  • US Citizenship is required with the eligibility to obtain clearance.

ASSYST Benefits:

We are proud to offer a robust benefits package including medical, dental, vision, 401(k) retirement plan, disability insurance, flexible spending accounts and more in order for our employees to maintain a secure work/life balance.

ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law

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