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Entry Level Ai Data Engineer Jobs in Virginia (NOW HIRING)

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

New

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

New

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

New

Data Engineer

Falls Church, VA ยท Hybrid

$81K - $105K/yr

No As a Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your ... We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and ...

Data Engineer (763232)

Richmond, VA ยท On-site

$112K - $134K/yr

... AI Search. โ€ข Determine effective data partitioning criteria. โ€ข Utilize data storage system ... Required : โ€ข Strong Data engineering fundamentals. โ€ข Utilize Big data frameworks like Spark ...

Data Engineer

Dahlgren, VA ยท On-site

$116K - $140K/yr

The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities within a single position. This position is expected to work onsite at JWAC in Dahlgren ...

Data Engineer

Dahlgren, VA ยท On-site

$116K - $140K/yr

The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities within a single position. This position is expected to work onsite at JWAC in Dahlgren ...

Data Engineer

Dahlgren, VA ยท On-site

$116K - $140K/yr

The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities within a single position. This position is expected to work onsite at JWAC in Dahlgren ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Mclean, VA ยท On-site

$62K - $141K/yr

R0247439 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Mclean, VA ยท On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Entry Level Ai Data Engineer information

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

What are the most commonly searched types of Ai Data Engineer jobs in Virginia?

The most popular types of Ai Data Engineer jobs in Virginia are:

What are popular job titles related to Entry Level Ai Data Engineer jobs in Virginia?

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

What job categories do people searching Entry Level Ai Data Engineer jobs in Virginia look for?

The top searched job categories for Entry Level Ai Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Ai Data Engineer jobs?

Cities in Virginia with the most Entry Level Ai Data Engineer job openings:

Entry-Level AI Software Engineer

Credence

Mclean, VA โ€ข On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence is seeking a highly motivated Entry-Level AI Software Engineer to join our growing technology team. This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies.

In this role, you will work under the mentorship of senior engineers and AI practitioners to support the design, development, testing, and deployment of software and AI-driven solutions. You will gain hands-on experience with modern development tools, cloud technologies, data platforms, and machine learning concepts while contributing to mission-focused federal technology programs.

This role is ideal for individuals who are eager to learn, solve complex problems, and build innovative solutions that create measurable impact.

Responsibilities include, but are not limited to the duties listed below

  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and data-driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.

Requirements

  • Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and object-oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
Preferred Qualifications
  • Internship, research, co-op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Familiarity with Git and version control best practices.
  • Knowledge of APIs, databases, data processing, or cloud-native architectures.
  • Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Experience with Python-based development or AI/ML libraries through academic projects.
  • Active Security Clearance.
What We Offer
  • Meaningful work supporting federal missions that positively impact national security, public health, and global initiatives.
  • Hands-on mentorship from experienced software engineers, AI engineers, and technology leaders.
  • Exposure to cutting-edge technologies, including AI, cloud computing, data engineering, and automation.
  • Professional development, training, and certification opportunities.
  • Clear career growth pathways within a rapidly growing technology organization.

Salary Range:ย $90,000 - $110,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources