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Data Engineer Remote Contract Jobs in Colorado (NOW HIRING)

Agile Space Industries, Inc.

Contracts Manager

Denver, CO · On-site +1

$99K - $150K/yr

... engineering services for the space industry. Headquartered in Durango, Colorado, with expanding ... Agile Space Industries is seeking an experienced remote Contracts Manager to oversee the full ...

DSC Resources

Principal Software Engineer

Denver, CO · Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must ... Drive end-to-end architecture across the full technology stack (UI, APIs, data, infrastructure ...

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All JobsData Engineer Contract JobsData Engineer Remote Contract JobsData Engineer Remote Contract Jobs in Colorado

Data Engineer Remote Contract information

What is a data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

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:
What are popular job titles related to Data Engineer Remote Contract jobs in Colorado? For Data Engineer Remote Contract jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Colorado look for? The top searched job categories for Data Engineer Remote Contract jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Remote Contract jobs? Cities in Colorado with the most Data Engineer Remote Contract job openings:
Data Engineer Remote Contract jobs near you
Infographic showing various Data Engineer Remote Contract job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Aurora, CO • Remote

Full-time

Re-posted 17 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