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Internship Remote Database Developer Jobs in Colorado

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... Design or evaluate practical solutions involving APIs, databases, services, integrations, testing ...

Enterprise Support Engineer

Westminster, CO ยท On-site +1

$108K - $134K/yr

Provide strategic guidance on database customizations and operational best practices to enhance ... Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ...

Enterprise Support Engineer

Westminster, CO ยท On-site +1

$108K - $134K/yr

Provide strategic guidance on database customizations and operational best practices to enhance ... Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ...

Enterprise Support Engineer

Westminster, CO ยท On-site +1

$108K - $134K/yr

Provide strategic guidance on database customizations and operational best practices to enhance ... Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ...

You can design a multi-tier system from the database schema up to the UI. Proficiency in Python or ... We are proud to be an equal opportunity workplace. #LI-Remote

Experience using remote desktop takeover tools like Bomgar, Zoom, or WebEx for technical support ... Database Performance Tuning, Technical Support Engineer Compensation: Trimble provides the ...

Clinical Data Engineer

Denver, CO ยท Remote

$85K - $100K/yr

Clinical Data Engineer - Remote, Must Live in State of Colorado Join Carina Health Network and help ... Candidate must have experience in Microsoft SQL database development, clinical data integration ...

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Internship Remote Database Developer information

What is the difference between Internship Remote Database Developer vs Remote Data Analyst?

AspectInternship Remote Database DeveloperRemote Data Analyst
Required CredentialsBasic SQL knowledge, relevant coursework or certificationsStatistical, analytical skills, certifications in data analysis or related fields
Work EnvironmentRemote, often part-time or internship settingRemote, project-based or full-time roles
Employer & Industry UsageTech companies, startups, IT departmentsBusiness, finance, marketing, tech sectors
Search & Comparison IntentLearning, entry-level experience, skill developmentData interpretation, reporting, decision-making

The main difference is that an Internship Remote Database Developer focuses on developing and managing databases, often as an entry-level or learning role, while a Remote Data Analyst interprets data to provide insights. Both roles are remote and require analytical skills, but they serve different functions within organizations.

What does a remote database developer intern do?

A remote database developer intern assists in designing, developing, and maintaining databases from a remote location. Their tasks often include writing and optimizing SQL queries, supporting data migration, troubleshooting database issues, and collaborating with software developers and data analysts. The internship is designed to help students or entry-level professionals gain hands-on experience in database management systems, data modeling, and understanding the workflow of database projects. Working remotely, they use collaboration tools and version control systems to communicate with their team and manage their tasks effectively.

What are the key skills and qualifications needed to thrive as an Internship Remote Database Developer, and why are they important?

To thrive as an Internship Remote Database Developer, you need a solid understanding of database fundamentals, SQL, and a relevant educational background in computer science or a related field. Familiarity with database management systems such as MySQL, PostgreSQL, or MongoDB, and experience with version control tools like Git are typically required. Strong problem-solving skills, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and project success. These skills and qualities enable efficient database development, maintain data integrity, and ensure effective teamwork in a remote work environment.

How do remote database developer interns typically collaborate with team members and mentors during their internship?

Remote database developer interns usually work closely with their teams through digital collaboration tools like Slack, Zoom, and project management platforms such as Jira or Trello. Regular check-ins, code reviews, and pair programming sessions are common practices to facilitate learning and ensure alignment on project goals. Mentorship is often structured through scheduled meetings and feedback sessions, allowing interns to ask questions and receive guidance on database design, optimization, and troubleshooting. Effective communication and proactive participation are key for interns to make the most of their remote experience.
What cities in Colorado are hiring for Internship Remote Database Developer jobs? Cities in Colorado with the most Internship Remote Database Developer job openings:
Infographic showing various Internship Remote Database Developer job openings in Colorado as of June 2026, with employment types broken down into 3% Internship, 66% Full Time, 28% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Colorado Springs, CO โ€ข On-site, Remote

$144K - $246K/yr

Full-time

Posted 14 days ago


Key responsibilities

  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.

  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.

  • Develop and operationalize MLOps pipelines and write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.


Job description

Overview
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range for candidates is $144k-$246k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.
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