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

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Advanced experience with cloud platforms such as AWS, Azure, or GCP. * Advanced experience with ...

MrBeast

Media Systems Engineer

Raleigh, NC · On-site +1

Manage cloud storage integration and hybrid on-prem/cloud tiering (AWS or equivalent) * Support ... Remote support of our data center, with periodic on-call responsibilities MrBeast is an equal ...

FHR

M6.20 MuleSoft Lead (100% Remote)

Raleigh, NC · Remote

Work with cloud platforms (e.g., Salesforce, AWS, Azure, Google Cloud) and message queues/event ... Database & Programming: Strong understanding of SQL and OOP languages (Java, C#). Minimum ...

Redhat

Software Engineer

Raleigh, NC · On-site +1

$115K - $185K/yr

S. Develop, operate, maintain, and use public cloud systems in AWS, GCP, and Alibaba Cloud for the ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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How much do remote aws cloud engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote aws cloud engineer in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote AWS Cloud Engineer?

To thrive as a Remote AWS Cloud Engineer, you need expertise in cloud architecture, AWS services, infrastructure-as-code, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS CloudFormation, Terraform, CI/CD pipelines, and certifications such as AWS Certified Solutions Architect are typically required. Strong problem-solving, time management, and effective remote communication skills are valuable for collaborating with distributed teams. These abilities are essential for delivering secure, scalable, and reliable cloud solutions in a remote work environment.

How much does a remote AWS Cloud Engineer make?

A remote AWS Cloud Engineer typically earns between $80,000 and $130,000 annually, depending on experience, certifications, and location. Salaries can vary based on the complexity of cloud environments managed and the specific employer's pay scale.

Are there remote AWS Cloud Engineer jobs?

Yes, many companies offer remote AWS Cloud Engineer positions, allowing professionals to work from anywhere. These roles often require skills in cloud architecture, AWS services, and certifications like AWS Certified Solutions Architect, with flexible schedules becoming increasingly common.

What are some common challenges faced by remote AWS Cloud Engineers and how can they be addressed?

Remote AWS Cloud Engineers often encounter challenges such as coordinating across time zones, staying updated with rapidly evolving AWS services, and ensuring security best practices in distributed environments. To address these, it's important to set clear communication routines with your team, regularly participate in AWS webinars or training, and implement robust documentation for all cloud resources. Adopting a proactive approach to monitoring and automating infrastructure can reduce downtime and manual errors. Effective collaboration tools and strong self-management skills are key to navigating these remote work challenges while maintaining productivity.

What is a remote AWS Cloud Engineer?

A Remote AWS Cloud Engineer is responsible for designing, deploying, and managing cloud infrastructure on Amazon Web Services (AWS) while working from a remote location. They ensure scalability, security, and performance of cloud environments by implementing best practices, automation, and monitoring solutions. Their role often involves collaborating with development teams, optimizing cloud costs, and troubleshooting issues. Strong expertise in AWS services like EC2, S3, Lambda, and IAM, as well as proficiency in infrastructure-as-code tools like Terraform or CloudFormation, is typically required.

What are the most commonly searched types of Aws Cloud Engineer jobs in Raleigh, NC? The most popular types of Aws Cloud Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Aws Cloud Engineer jobs in Raleigh, NC? For Remote Aws Cloud Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Aws Cloud Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Aws Cloud Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Aws Cloud Engineer jobs? Cities near Raleigh, NC with the most Remote Aws Cloud Engineer job openings:
Remote Aws Cloud Engineer jobs near you
Infographic showing various Remote Aws Cloud Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,150 per year, or $61.1 per hour.

Senior Data Engineer

First Citizens Bank

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Posted 15 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas.

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organizationand help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.

The ideal candidate is a hands-on data engineer with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will build and optimize scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to enterprise-scale data platforms that enable data-driven decision-making across the bank.


Responsibilities

The successful candidate will thrive in a collaborative environment, possess strong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.

  • Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads.
  • Implement and enhance data quality controls, reconciliation processes, testing frameworks, and dbt tests to ensure trusted and reliable data assets.
  • Optimize data pipeline performance and operational efficiency through monitoring, alert investigation, automation, testing, CI/CD, dashboard development, and production support activities.
  • Develop monitoring dashboards and operational metrics to improve platform visibility, reliability, and incident response.
  • Support deployment automation, release validation, and environment promotion processes to improve delivery reliability and operational efficiency.
  • Collaborate with business and technology stakeholders to understand requirements and deliver scalable data solutions that support business objectives.
  • Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, testing, and delivery outcomes.

Qualifications

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

Preferred Qualifications
  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Additional qualifications are a plus
  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

Preferred Qualifications
  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Additional qualifications are a plus
  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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