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

Jr Data Engineer

Springfield, VA ยท On-site

$119K - $143K/yr

Everforth ECS seeks a Jr Data Engineer to support the development and integration of Artificial Intelligence (AI) and Cloud Solutions. The candidate has experience and/or coursework in exploring ...

Data Engineer

Mclean, VA ยท On-site

$117K - $141K/yr

Job#: 3043262 Data Engineer Location: Richmond, VA (Hybrid) Role Overview We are seeking a Data ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

DS Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

... AI/ML workflows. Responsibilities : โ€ข Designing, implementing, and optimizing data extraction ... programming experience. โ€ข Demonstrated data analysis, parsing, and programming language ...

DS Data Engineer

Chantilly, VA

$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 ...

Cloud Data Engineer

Falls Church, VA ยท On-site

$112K - $196K/yr

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical cloud, data, and AI-enabling technology initiatives. This position is open to candidates at multiple ...

New

Cloud Data Engineer

Falls Church, VA ยท On-site

$112K - $196K/yr

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical cloud, data, and AI-enabling technology initiatives. This position is open to candidates at multiple ...

AI Engineer

Manakin Sabot, VA ยท On-site

$152K/yr

Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms. * Ensure the scalability and performance of AI models by optimizing algorithms ...

AI Engineer

VA ยท On-site

$152K/yr

Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms. * Ensure the scalability and performance of AI models by optimizing algorithms ...

The Data Engineer - Jr supports the design, development, and sustainment of data pipelines, data integration, and basic data infrastructure that enable analytics and AI/ML solutions for CD&I. This ...

Data Engineer - Junior

Quantico, VA ยท On-site

$110K - $125K/yr

The Data Engineer - Jr supports the design, development, and sustainment of data pipelines, data integration, and basic data infrastructure that enable analytics and AI/ML solutions for CD&I. This ...

Senior Data Engineer

Chantilly, VA ยท On-site

$108K - $147K/yr

Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks. * Familiarity with Apache Airflow and Apache ...

Senior Data Engineer

Chantilly, VA ยท On-site

$109K - $148K/yr

Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks. * Familiarity with Apache Airflow and Apache ...

Showing results 41-60

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:

Jr Data Engineer

ECS

Springfield, VA โ€ข On-site

$119K - $143K/yr

Full-time

Re-posted 22 hours ago


Job description

Everforth ECS is seeking a Jr Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Springfield, VA customer site.
Everforth ECS seeks a Jr Data Engineer to support the development and integration of Artificial Intelligence (AI) and Cloud Solutions. The candidate has experience and/or coursework in exploring, mining, parsing, and transforming text and JSON data. The candidate has experience and/or coursework in processing geospatial data. The work is performed in a multidisciplinary small team environment. The candidate is highly motivated and enthusiastic about implementing new technologies where deadlines are important to national security. The candidate will be contributing to a pathfinder program for the Department of Defense (DoD) that has the potential to change the way we gather and share intelligence.
Position Responsibilities:
  • Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts
  • Work closely with software engineers and architects to extract, transform and standardize data to prepare for ingest into Machine Learning (ML) development environments
  • Support continuous process automation for data ingest
  • Support the integration of ML algorithms for testing and operational deployment
  • Assist with the design and development of data services and pipelines
  • Coordinate with the Project Manager and Data Team to determine data requirements and to serve as the project data advocate
  • Perform multiple tasks simultaneously and successfully under changing priorities and deadlines
  • Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork

We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.
Salary Range: 104,764 - 125,717
General Description of Benefits
  • Must be a US Citizen
  • Active Top Secret clearance or ability to obtain one with SCI / CI Poly
  • Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field
  • 0-2+ years of working experience in one of the related areas: Data Science, Computer Science or Computer Engineering. Relevant course work may be considered as a substitute for actual experience.
  • Experience with Python and SQL
  • Experience transforming and manipulating data sets
  • Excellent communication, and presentation skills.