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Remote Aws Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Varonis

Inside Sales Engineer

Morrisville, NC · Remote

$56K - $70K/yr

Our cloud-native Data Security Platform continuously discovers and classifies critical data ... Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cybersecurity ...

Eliassen Group

Senior AI/ML Engineer

Raleigh, NC · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB ...

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118K - $156K/yr

AWS Infrastructure tools for data collection, management, and model development; WiX Toolset and ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119K - $157K/yr

AWS Infrastructure tools for data collection, management, and model development; WiX Toolset and ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

FHR

M6.20 MuleSoft Lead (100% Remote)

Raleigh, NC · Remote

Utilize CI/CD tools such as Git, Maven, or Azure DevOps for streamlined development. * Leverage ... Work with cloud platforms (e.g., Salesforce, AWS, Azure, Google Cloud) and message queues/event ...

Confluent

Senior Software Engineer II

Raleigh, NC · On-site +1

$176K - $230K/yr

Remote Department Engineering Compensation: $176K - $230K At Confluent, we are committed to ... One Team. One Data Streaming Platform. About the Role: As a Senior Software Engineer II at ...

TEKsystems

Principal AI Engineer

Raleigh, NC · On-site +1

$75 - $100/hr

Preferred Skills: • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). • ... remote position. Application Deadline This position is anticipated to close on Jun 12, 2026. About ...

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All JobsRemote Aws Data Engineer JobsRemote Aws Data Engineer Jobs in Raleigh, NC

Remote Aws Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do remote aws data engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote aws data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a Remote AWS Data Engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

How does a remote AWS Data Engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What are the key skills and qualifications needed to thrive as a Remote AWS Data Engineer, and why are they important?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.
What are the most commonly searched types of Aws Data Engineer jobs in Raleigh, NC? The most popular types of Aws Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Aws Data Engineer jobs in Raleigh, NC? For Remote Aws Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Aws Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Aws Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Aws Data Engineer jobs? Cities near Raleigh, NC with the most Remote Aws Data Engineer job openings:
Remote Aws Data Engineer jobs near you
Infographic showing various Remote Aws Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC • Remote

Other

Posted 18 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