ZipRecruiter

Log In

2

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

Booz Allen Hamilton

Mid Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Job Number: R0236780 Data Engineer, Mid The Opportunity: Ever-expanding te chn ology like IoT ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

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

Booz Allen Hamilton

Data Engineer, Mid

Chantilly, VA

$62K - $141K/yr

Data Engineer, Mid 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 ...

Booz Allen Hamilton

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

Data Engineer, Mid 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 ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

Data Engineer, Mid 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 ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for: * Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks ...

Carlyle

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... and other AI technologies. * Champion modern software engineering practices as CI/CD ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs ... Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ...

Woodgrove Solutions LLC

Palantir Data Engineer

Vienna, VA · On-site

$100K - $200K/yr

Job Listing: Palantir Data Engineer Location: Tysons Corner, VA (Off-Site/Hybrid) Position ... By applying expertise in Palantir's Foundry & AIP platforms, you will provide AI-first solutions to ...

Probity Inc.

DS Data Engineer

Chantilly, VA · On-site

$111K - $134K/yr

Chantilly, VA Summary The Data Engineer will leverage their development skills and experience, to ... Experience deploying systems that leverage AI/ML technology * Experience publishing results in BI ...

System One

Be Seen First

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Collaborate with data engineers to integrate models into production environments, including ...

next page

Showing results 1-20

All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Reston, VA

Entry Level Ai Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Jul 8, 2026, the average yearly pay for entry level ai data engineer 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.

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists or AI research directors, which can offer compensation in that range including salary, bonuses, and stock options. Entry-level AI data engineering positions usually have lower salaries, but compensation can increase significantly with experience, skills, and responsibilities in the field.

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.

What engineer makes 500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. These roles typically require advanced skills, extensive experience, and often work in high-demand industries like technology or finance.

How can I become an AI engineer with no experience?

To become an entry-level AI data engineer with no experience, focus on building foundational skills in programming languages like Python, learn about data management and machine learning concepts, and complete online courses or certifications in AI and data engineering. Gaining hands-on experience through personal projects, internships, or contributing to open-source initiatives can also help demonstrate your abilities to employers.

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.

Which 3 jobs will survive AI?

Entry Level AI Data Engineers are likely to continue being in demand as they develop and maintain AI models, requiring skills in data management, programming, and machine learning tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI specialists, and cybersecurity analysts, are also expected to persist despite AI automation. These roles often require specialized knowledge and adaptability that AI cannot fully replicate yet.
What are the most commonly searched types of Ai Data Engineer jobs in Reston, VA? The most popular types of Ai Data Engineer jobs in Reston, VA are:
What are popular job titles related to Entry Level Ai Data Engineer jobs in Reston, VA? For Entry Level Ai Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Engineer jobs in Reston, VA look for? The top searched job categories for Entry Level Ai Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Ai Data Engineer jobs? Cities near Reston, VA with the most Entry Level Ai Data Engineer job openings:
Entry Level Ai Data Engineer jobs near you
Databricks Data Engineer

Databricks Data Engineer

Square Peg Technologies

Washington, DC • On-site

$129K - $156K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

Job description

Clearance Required:

Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.

Location:

Northern Virginia

The Mission:

Square Peg is seeking a Data Engineer to be responsible for designing, implementing, and maintaining data pipelines for our customers. The Data Engineer will develop automated pipelines for a variety of data types and datasets. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems.

Don't know Databricks, no problem! Sign up for our extensive training program to be a part of shaping the future of AI/ML

Basic Qualifications:

  • Proficient with one or more programming languages (Python, SQL, Java)
  • Prepare big data, implement data models and develop database to support the business solutions
  • Understanding of SQL database structures and mapping data structures between different SQL databases
  • Knowledge of API development techniques
  • Demonstrated experience in data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, Splunk, Cloudera, and Snowflake.
  • Demonstrated experience with cloud based database services such as Databricks and AWS

Preferred Qualifications

  • Experience with using Apache Spark and Hadoop to conduct large-scale data processing
  • Extensive experience in Extract-Transform-Load (ETL) processes
  • Demonstrated extensive experience with cloud services (AWS strongly preferred)
  • Familiarity with open source data engineering tools and processes

Square Peg Technologies Company Information

Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering and data management. Our mission is to develop and integrate cutting edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person’s contribution, celebrate wins together and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top notch benefits to include a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage.

At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward leaning and eager to engage with customers, academia and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA and other prominent government agencies.