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Entry Level Data Engineering Jobs in Washington, DC

SynergisticIT

Entry Level Python Developer

Arlington, VA · On-site

$58 - $79.75/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

ECS

Junior Data Engineer

Falls Church, VA · On-site

This is an entry-level engineering position well-suited for early-career professionals seeking hands-on experience in enterprise data engineering within a classified federal environment. • Supports ...

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

UI Developer

Silver Spring, MD · On-site

$51.75 - $67.25/hr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

SynergisticIT

Entry Level UI Developer

Annapolis, MD · On-site

... Data Science. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or ... entry-level position each additional Technical skill helps a candidate's resume to be picked by ...

ManTech

Associate BI Analytics Engineer

Herndon, VA

As an entry-level position, you will work closely with senior engineers and stakeholders to deliver ... Support the team in maintaining, monitoring, and troubleshooting automated data engineering ...

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All JobsEntry Level Data Engineering JobsEntry Level Data Engineering Jobs in Washington, DC

Entry Level Data Engineering information

See Washington, DC salary details

$13

$22

$35

How much do entry level data engineering jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for entry level data engineering in Washington, DC is $22.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.76 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Washington, DC? The most popular types of Data Engineering jobs in Washington, DC are:
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Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Washington, DC as of June 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $47,681 per year, or $22.9 per hour.
AI & Data Engineering Apprentice

AI & Data Engineering Apprentice

Simple Technology Solutions

Alexandria, VA

Full-time

Posted 6 days ago

Job description

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they're parents, friends, volunteers, artists, and athletes. That's why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a "Best Place to Work," we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn't a perk—it's the standard.

As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for an AI & Data Engineering Apprentice to add to our team.

Quick Position Overview

  • US Citizenship is required
  • High School Diploma or equivalent is required; Bachelor's Degree preferred
  • No prior professional experience required — this is an entry-level apprenticeship program
  • Strong interest in Artificial Intelligence, Data Engineering, Cloud Technologies, or Software Development is required
  • Must be a motivated, driven, and continuous learner

The Role

The STS AI & Data Engineering Apprenticeship is a year-long, structured program designed to develop the next generation of AI, data, cloud, and automation professionals through hands-on projects, mentorship, and real-world experience. STS takes an individualized approach — each apprentice receives a customized development roadmap built around their career goals, current skills, and alignment with STS business needs. The program spans three progressive phases: foundational skills development, applied learning alongside experienced STS mentors, and a career transition period that supports a smooth entry into a full-time professional consulting role. By program completion, apprentices will have the technical, professional, and consulting skills to contribute meaningfully to AI, data, cloud, and digital transformation initiatives at STS and for our federal and commercial clients.

The AI & Data Engineering Apprentice at STS will:

  • Complete structured learning plans covering AI, machine learning, data engineering, cloud platforms, and software development fundamentals.
  • Participate in hands-on labs, guided exercises, and practical projects to build a strong technical foundation.
  • Pursue industry certifications in relevant technology areas as outlined in their individualized development roadmap.
  • Engage in pair programming, collaborative development, and AI solution-building projects alongside experienced STS mentors.
  • Contribute to internal innovation and automation projects, data engineering initiatives, and cloud modernization efforts.
  • Develop proficiency with leading AI tools and platforms, including generative AI frameworks, LLMs, cloud services, and data analytics platforms.
  • Apply responsible AI, data governance, and security best practices throughout all work.
  • Participate in professional development coaching, career planning, and client engagement preparation activities.
  • Transition into a full-time STS consulting role upon successful completion of the program, with continued mentorship during the first 90 days of employment.

Education and Experience

Required

  • High School Diploma or GED equivalent
  • No prior professional experience required; this is an entry-level program
  • Demonstrated interest in technology, data, or AI through coursework, self-study, personal projects, or extracurricular activities
  • Strong analytical thinking and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to work independently and collaboratively in a fast-paced, project-driven environment
  • Commitment to continuous learning and professional growth throughout the duration of the program

Preferred

  • Bachelor's Degree in Computer Science, Information Technology, Data Science, or related field (in progress or completed)
  • Foundational exposure to Python, SQL, or cloud platforms (AWS or Azure)
  • Prior coursework or training in data analysis, software development, or artificial intelligence
  • Experience with collaboration tools such as GitHub or Agile project management platforms
STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.

Employment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence.
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Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.