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Junior Data Engineer Remote Jobs in Minnesota (NOW HIRING)

Enel Group

$161K - $242K/yr

Project Management, Procurement, M&A / BD (for technical assessments) • Mentor and guide junior engineers and external consultants What you will bring • Bachelor's degree in Electrical ...

Thrivent Financial

Senior Engineer

Minneapolis, MN · On-site +1

$157K/yr

Encourage junior engineers to invest in learning as a part of their job; Collaborate within the ... Use data to measure progress; * Promote and expand on the use of the CI/CD pipeline to improve the ...

Actalent

Distribution Design Engineer

Saint Paul, MN · On-site +1

$34.18 - $48.83/hr

Distribution Design Engineer (Remote - Minnesota)Build the Future of Power Infrastructure Are you ... Review GIS Smallworld data for updates, discrepancies, and potential conflicts. * Manage multiple ...

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Junior Data Engineer Remote information

What are the key skills and qualifications needed to thrive as a junior data engineer, and why are they important?

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

How does a junior data engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

What is a junior data engineer?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.
What are the most commonly searched types of Data Engineer Remote jobs in Minnesota? The most popular types of Data Engineer Remote jobs in Minnesota are:
What are popular job titles related to Junior Data Engineer Remote jobs in Minnesota? For Junior Data Engineer Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineer Remote jobs in Minnesota look for? The top searched job categories for Junior Data Engineer Remote jobs in Minnesota are:
What cities in Minnesota are hiring for Junior Data Engineer Remote jobs? Cities in Minnesota with the most Junior Data Engineer Remote job openings:
Junior Data Engineer Remote jobs near you
Infographic showing various Junior Data Engineer Remote job openings in Minnesota as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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