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

Principal Software Engineer

Raleigh, NC ยท On-site +1

$165K - $185K/yr

Python proficiency for data engineering and analytics workloads. * Solid database design, query ... Fully remote: work from home; no mandatory time in the office! * Collaborative team: join a ...

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Senior AI Technologist

Raleigh, NC ยท On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

Test Automation Engineer (Remote Opportunity)

Raleigh, NC ยท On-site +1

$44.75 - $59/hr

Design and execute automated testing strategies across middleware, API, and data integration layers ... Collaborate with QA leads, developers, and business stakeholders to troubleshoot issues and improve ...

Test Automation Engineer (Remote Opportunity)

Raleigh, NC ยท Remote

$44.75 - $59/hr

Design and execute automated testing strategies across middleware, API, and data integration layers ... Collaborate with QA leads, developers, and business stakeholders to troubleshoot issues and improve ...

Sr. Professional Services Engineer Consultant

Raleigh, NC ยท On-site +1

$80.20K - $106.90K/yr

You will work at the intersection of product, data, and engineering, extending Pendo's capabilities ... This role is based in Raleigh, San Francisco or remote What this looks like day-to-day * Engagement ...

Data Quality Specialist

Raleigh, NC ยท On-site +1

$17.29 - $22.29/hr

Four year degree (engineering / technical field or four year degree with technical aptitude ... Remote work for a qualified individual - must have ability to come into office (if necessary) for ...

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Showing results 1-20

Remote Amazon Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of May 30, 2026, the average yearly pay for remote amazon 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 are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are popular job titles related to Remote Amazon Data Engineer jobs in Raleigh, NC? For Remote Amazon Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Amazon Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Amazon Data Engineer jobs? Cities near Raleigh, NC with the most Remote Amazon Data Engineer job openings:
Infographic showing various Remote Amazon Data Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% Internship, 73% Full Time, 12% Part Time, 13% Contract, and 1% Nights. Highlights an 93% Physical, 6% Hybrid, and 1% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
AI/ML Engineer

$140K - $220K/yr

Full-time

Posted 10 days ago


Job description

Overview

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

ย Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

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Employment Type: FULL_TIME