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Entry Level Data Engineer Remote Jobs in Colorado

Woolpert

Remote Sensing Technician

Denver, CO · On-site +1

This is an entry-level position where dedicated individuals with critical thinking and problem ... Data Acquisition & Processing: Participate in ground and flight operations efforts as needed ...

Averna

Data Analyst

Denver, CO · On-site +1

... product designers, developers and manufacturers to help them achieve higher product quality ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Averna

Data Analyst

Denver, CO · Remote

... product designers, developers and manufacturers to help them achieve higher product quality ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Prim

SCADA Data & Reporting Analyst

Denver, CO · Remote

... Remote Operations Control Center (ROCC). This position will collect, analyze, automate, and ... Bachelor's degree in Data Analytics, Computer Science, Engineering, Information Systems ...

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Entry Level Data Engineer Remote information

What is an Entry Level Data Engineer (Remote)?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.

What are some common challenges faced by entry-level data engineers working remotely, and how can they overcome them?

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer (Remote), and why are they important?

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.
What are the most commonly searched types of Data Engineer Remote jobs in Colorado? The most popular types of Data Engineer Remote jobs in Colorado are:
Entry Level Data Engineer Remote jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Fort Collins, CO • Remote

Full-time

Re-posted 11 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply