... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
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Remote Data Engineer information
See Orlando, FL salary details
$41.5K - $52.8K
0% of jobs
$52.8K - $64.1K
1% of jobs
$64.1K - $75.4K
3% of jobs
$75.4K - $86.7K
4% of jobs
$86.7K - $98K
7% of jobs
$107.9K is the 25th percentile. Wages below this are outliers.
$98K - $109.3K
11% of jobs
$109.3K - $120.6K
12% of jobs
The median wage is $123.6K / yr.
$120.6K - $131.8K
45% of jobs
$131.8K - $143.1K
8% of jobs
$143.1K - $154.4K
5% of jobs
$154.4K - $165.7K
3% of jobs
$41.5K
$121.1K
$165.7K
How much do remote data engineer jobs pay per year?
What is a remote data engineer?
What does a remote data engineer do?
As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.
What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?
How do remote data engineers typically collaborate with other team members across different time zones?
What is the difference between Remote Data Engineer vs Remote Data Analyst?
| Aspect | Remote Data Engineer | Remote Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; SQL, Python, cloud certifications | Bachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools |
| Work Environment | Collaborates with data engineering teams, cloud platforms, big data tools | Works with business teams, dashboards, reporting tools |
| Industry Usage | Tech, finance, healthcare, e-commerce | Marketing, finance, retail, healthcare |
| Common Search Intent | Building data pipelines, data infrastructure | Data reporting, insights, visualization |
Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.
Are remote data engineers still in demand?
Can a remote data engineer work remotely?
What are the most commonly searched types of Data Engineer jobs in Orlando, FL?
The most popular types of Data Engineer jobs in Orlando, FL are:
What are popular job titles related to Remote Data Engineer jobs in Orlando, FL?
For Remote Data Engineer jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Orlando, FL look for?
The top searched job categories for Remote Data Engineer jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Data Engineer jobs?
Cities near Orlando, FL with the most Remote Data Engineer job openings:

Full-time
Re-posted 15 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:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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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.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020