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Python Cloud Engineer Jobs in Charlotte, NC (NOW HIRING)

GCP Cloud Analytics Engineer

Charlotte, NC · On-site

$54.50 - $72.75/hr

... and Python * 1+ years of experience leading workstreams within technology engagements with ... GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that ...

AI & Cloud FinOps Engineer

Charlotte, NC · On-site

$54.50 - $72.75/hr

This role will help drive the evolution from traditional cloud FinOps to Tokenomics, and the ... Automation engineering capability: for example Python together with Azure Logic Apps and Functions ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Seeking a full stack Engineer to join our team, with expertise in Cloud, Python/ETL and Continuous Integration. This role focuses on designing, deploying and managing scalable data processing ...

Python Engineer (AI) Onsite - Charlotte, NC (4 days per week, located next to Bank of America ... Familiarity with cloud platforms (AWS, Azure, or GCP) * Exposure to data pipelines, MLOps, or model ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design ... Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. * Engage in ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

... cloud services for application deployment. Responsibilities : • Design, develop, and maintain ... Strong Python programming skills. • Design, develop, and maintain backend services using FastAPI ...

Google Cloud AI Engineer

Alexis, NC · On-site

$52.25 - $69.75/hr

Fuertes habilidades de programacion en Python. * Excelentes habilidades de comunicacion y trabajo en equipo. Puntos extra * Experiencia con Google Cloud Platform y sus servicios de IA. * Conocimiento ...

Delivery Management Engineer II

Charlotte, NC · Hybrid

$54.50 - $72.75/hr

Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for ... Strong fluency in Python scripting for automation, integrations, and tooling customization. PMP ...

Impact As a cloud engineer, you will get to work with a variety of cloud native AWS services to ... Experience in AWS cloud development: Python/CloudFormation/NodeJS/Java/ AWS SDK * Experience or ...

Showing results 41-60

Python Cloud Engineer information

See Charlotte, NC salary details

$22.5K

$136.7K

$197.8K

How much do python cloud engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for python cloud engineer in Charlotte, NC is $136,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $160,700.00 per year, depending on experience, location, and employer.

What does a Python Cloud Engineer do?

A Python Cloud Engineer is responsible for designing, developing, and maintaining cloud-based applications and infrastructure using the Python programming language. They work with cloud platforms like AWS, Azure, or Google Cloud to build scalable, secure, and efficient solutions. Their tasks often include writing automation scripts, deploying cloud resources, and ensuring the reliability and performance of cloud systems. They also collaborate with development and operations teams to streamline cloud workflows and troubleshoot issues.

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

To thrive as a Python Cloud Engineer, you need strong proficiency in Python programming, a good understanding of cloud platforms like AWS, Azure, or Google Cloud, and experience with infrastructure-as-code and automation tools. Familiarity with CI/CD pipelines, containerization technologies (such as Docker and Kubernetes), and relevant certifications like AWS Certified Developer or Google Cloud Professional are typically important. Excellent problem-solving, collaboration, and communication skills help you navigate complex projects and work effectively in cross-functional teams. These skills and qualities are essential for developing, deploying, and maintaining scalable cloud-based solutions efficiently and securely.

How does a Python Cloud Engineer typically collaborate with cross-functional teams on cloud-based projects?

Python Cloud Engineers frequently work alongside DevOps specialists, software developers, and cloud architects to design, implement, and optimize cloud solutions. They are often involved in code reviews, infrastructure automation, and troubleshooting sessions, ensuring that services are scalable and reliable. Regular communication, agile methodologies, and shared documentation are key practices, enabling smooth integration of cloud-native applications and services across the organization.

What is the difference between Python Cloud Engineer vs Cloud Software Developer?

AspectPython Cloud EngineerCloud Software Developer
Required CredentialsPython certifications, cloud platform certifications (AWS, Azure)Programming certifications, cloud platform knowledge
Work EnvironmentCloud environments, DevOps tools, scriptingApplication development, cloud deployment
Employer & Industry UsageTech companies, cloud service providersSoftware firms, SaaS providers
Search & Comparison IntentYesYes

The main difference is that Python Cloud Engineers focus on designing and maintaining cloud infrastructure using Python, while Cloud Software Developers primarily develop applications for cloud platforms. Both roles require cloud platform knowledge and programming skills but differ in their core responsibilities and focus areas.

Infographic showing various Python Cloud Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $136,712 per year, or $65.7 per hour.

GCP Cloud Analytics Engineer

Charlotte, NC • On-site

Deloitte
Finance and Insurance • 10K+ employees

$54.50 - $72.75/hr

Full-time

Posted 8 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

GCP Cloud Analytics Engineer

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 09/10/2026.

Work you'll do

As an Engineer on the GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 3+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,300 to $155,00.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Qualifications:

GCP Cloud Analytics Engineer

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 09/10/2026.

Work you'll do

As an Engineer on the GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 3+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,300 to $155,00.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Education:Bachelor's DegreeEmployment Type:

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