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Flex Schedule Remote Data Engineer Jobs in Meridian, MS

M2W

Payment Processor (Remote)

Collinsville, MS · Remote

$40 - $60/hr

... schedules, and reporting tools Leadership & Quality Control (40%) You'll also help strengthen our ... Pivot Tables INDEX/MATCH SUMIFS Data validation Conditional formatting Financial modeling ...

Enterprise

Entegral Financial Analyst

Meridian, MS · On-site +1

$36.15 - $43.41/hr

... flex days; medical, dental, and vision insurance benefits; dependent spending account, health ... Collaborate with product and engineering teams to optimize data structures and standards for data ...

M2W

Payment Processor

Collinsville, MS · On-site +1

$15.75 - $20/hr

Pivot Tables INDEX/MATCH SUMIFS Data validation Conditional formatting Financial modeling ... Schedule Fully Remote U.S.-based team Ready to Apply? If you're an experienced Senior Staff ...

M2W

Payment Processor

Collinsville, MS · Remote

$40 - $60/day

Pivot Tables INDEX/MATCH SUMIFS Data validation Conditional formatting Financial modeling ... Schedule Fully Remote U.S.-based team Ready to Apply? If you're an experienced Senior Staff ...

All JobsData Engineer JobsFlex Schedule Remote Data Engineer JobsFlex Schedule Remote Data Engineer Jobs in Meridian, MS

Flex Schedule Remote Data Engineer information

See Meridian, MS salary details

$43.6K

$127.2K

$174.1K

How much do flex schedule remote data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for flex schedule remote data engineer in Meridian, MS is $127,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $134,900.00 per year, depending on experience, location, and employer.

What is a flex schedule remote data engineer?

A Flex Schedule Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and systems while working remotely with flexible working hours. Unlike traditional roles that require set office hours, this position allows employees to choose when they work, as long as they meet deadlines and project requirements. The role typically involves tasks such as data pipeline development, database management, and collaboration with other teams, all performed from a remote location.

How does a flex schedule impact collaboration and communication for remote data engineers?

Working as a remote Data Engineer with a flexible schedule allows you to tailor your working hours, but it also means that proactive communication is essential. You'll often collaborate with team members in different time zones, so clear documentation and regular updates via project management tools become crucial. Many teams address these challenges by scheduling core overlapping hours for meetings and using asynchronous communication channels like Slack or email. This setup supports both individual productivity and effective teamwork, but requires strong self-management and responsiveness to ensure projects remain on track.

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

To thrive as a Flex Schedule Remote Data Engineer, you need a strong background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like Python or SQL. Familiarity with cloud platforms (e.g., AWS, Azure, GCP), big data tools (such as Spark or Hadoop), and certifications in cloud or data engineering are highly valued. Excellent time management, self-motivation, and communication skills are crucial for effective remote collaboration and meeting project deadlines. These competencies ensure you can independently build robust data pipelines and collaborate seamlessly across distributed teams.
Flex Schedule Remote Data Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Meridian, MS • Remote

Full-time

Re-posted 16 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