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

Data & AI Platform Engineer

Denver, CO ยท On-site

$117K - $141K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

... AI, cloud platforms, automation tools, or DevOps practices - based on project needs and team direction. โ€ข Build and integrate APIs, data connections, and service components that enable secure and ...

AI Engineer

Denver, CO ยท On-site

AI Engineer Location: Denver, CO (2-3 days onsite) Contract: 6-12 months Contract to Hire Job ... Ensure Data Loss Prevention (DLP), data classification, connectors, and identity/access controls ...

At Nelnet, we believe in the transformative power of data and technology to drive business innovation. Our AI Engineer role sits at the center of that work: building, operating, and scaling the AI ...

AI Engineer JOB SUMMARY We are seeking a motivated AI Engineer who, working under general direction ... Data platforms (Spark, Databricks, Hadoop) * Experience with agent-based architecture or ...

AI Engineer JOB SUMMARY We are seeking a motivated AI Engineer who, working under general direction ... Data platforms (Spark, Databricks, Hadoop) * Experience with agent-based architecture or ...

The large hyperscale data center campuses we design throughout the U.S. will give you the ... This position is an entry-level, engineer-in-training (EIT) developmental position that performs a ...

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 Colorado?

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

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

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

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

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

Infographic showing various Entry Level Ai Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Job Posting for Mechanical Engineer I-II (Thermal)

KELVIN THERMAL TECHNOLOGIES INC

Longmont, CO โ€ข On-site

$70K - $100K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 14 days ago


Job description

Kelvin Thermal is the world leader in advanced vapor chambers for cooling. We are a small company founded from a University of Colorado research lab and we develop ultrathin, flexible, and high heat flux designs. We are looking for an entry-level mechanical engineer to support continued advancement of our Thermal Ground Plane products. The Longmont location handles front-end R&D and then works with contract manufacturers and our partner teams for mass production. The job requires a split between office and lab work.

Key Responsibilities

·         Prototyping efforts on new products including thermal/fluid design, tooling design, fabrication, and testing.

·         Support customer-funded development programs, meeting technical milestones and project deliverables.

Required Experience

·         Bachelor’s degree or higher in Mechanical Engineering or related field

·         Good mechanical design experience using CAD software (SolidWorks preferred).

·         Good intuitive understanding of heat transfer

·         Good analytical, troubleshooting, and problem-solving skills.

·         Hands-on experience building and testing prototypes.

·         Understanding of Design for Manufacturing, Design for Assembly, and GD&T

Company Description

Kelvin Thermal is a leading company in R&D in low power vapor chambers used in smartphones and high power ones used in AI data centers.