2

Remote Cloud Engineer Jobs in Rochester, NY (NOW HIRING)

... cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

... cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

... cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

You will also lead and mentor a team of data engineers, guiding their technical growth and ensuring ... cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture ...

next page

Showing results 1-20

Remote Cloud Engineer information

See Rochester, NY salary details

$23

$62

$86

How much do remote cloud engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote cloud engineer in Rochester, NY is $62.05, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.67 per hour, depending on experience, location, and employer.

What does a remote cloud engineer do?

As a remote cloud engineer, you work from home to design and develop software that runs in the cloud and maintain cloud systems and hardware. If you specialize in software development, then you typically write and test software. If your focus is on infrastructure, then your duties revolve around designing and deploying hardware and storage systems, implementing backup procedures, and ensuring the security of computer resources. In an information management role, your responsibilities include managing high-volume data migrations or supporting clients by architecting solutions for complex business needs.

What is a remote cloud engineer?

A Remote Cloud Engineer is an IT professional who designs, implements, and manages cloud-based infrastructure and services for organizations, all while working remotely. Their responsibilities often include configuring cloud environments, ensuring security and compliance, automating deployments, and troubleshooting technical issues. Remote Cloud Engineers work with platforms like AWS, Azure, or Google Cloud, and collaborate with teams using virtual communication tools. This role allows professionals to contribute to cloud projects without needing to be physically present at the company's office, making it ideal for those seeking flexible work arrangements.

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

To thrive as a Remote Cloud Engineer, you need a strong background in computer science, cloud architecture, and experience with platforms like AWS, Azure, or Google Cloud, often supported by relevant degrees or certifications. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CI/CD pipelines, and cloud security best practices is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills ensure secure, scalable cloud solutions and seamless teamwork, even when working remotely.

What is the difference between Remote Cloud Engineer vs Cloud Developer?

AspectRemote Cloud EngineerCloud Developer
Required CredentialsCloud certifications (AWS, Azure, GCP), Linux, networkingProgramming skills, cloud platform knowledge, certifications optional
Work EnvironmentCloud infrastructure, deployment, troubleshootingApplication development, coding, software design
Employer & Industry UsageIT companies, cloud service providers, tech firmsSoftware companies, startups, SaaS providers
Common Search & Comparison IntentUnderstanding roles, skills, job requirementsDevelopment focus, coding responsibilities

Remote Cloud Engineers focus on managing and maintaining cloud infrastructure, while Cloud Developers primarily develop applications on cloud platforms. Both roles often require cloud certifications and work in tech-driven environments, but their core responsibilities differ—one handles infrastructure, the other software development.

How do remote cloud engineers typically collaborate with team members across different time zones?

Remote Cloud Engineers often work with globally distributed teams, which means effective communication and coordination are essential. Collaboration is usually managed through tools like Slack, Microsoft Teams, or Jira, while regular video meetings help keep everyone aligned. Engineers need to be proactive in documenting their work and updates to ensure transparency and continuity, especially when team members may not be online simultaneously. Flexibility with schedules and strong written communication skills are key to overcoming time zone challenges and maintaining team productivity.
What are the most commonly searched types of Cloud Engineer jobs in Rochester, NY? The most popular types of Cloud Engineer jobs in Rochester, NY are:
What are popular job titles related to Remote Cloud Engineer jobs in Rochester, NY? For Remote Cloud Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Engineer jobs in Rochester, NY look for? The top searched job categories for Remote Cloud Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Cloud Engineer jobs? Cities near Rochester, NY with the most Remote Cloud Engineer job openings:

Data Engineer (Azure & Snowflake) - Remote

Mindex

Rochester, NY • On-site, Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Job description

Mindex is looking for a Data Engineer who enjoys building modern cloud-based data solutions that help organizations make smarter business decisions. In this role, you'll develop scalable data pipelines, integrate data from multiple business systems, and deliver reliable datasets that power analytics, reporting, automation, and internal AI initiatives.
You'll partner with business and technical stakeholders to understand data needs, design practical solutions, and ensure data is accurate, accessible, and ready for decision-making. The ideal candidate enjoys solving complex data challenges, writing clean and efficient code, and building dependable data platforms in Azure and Snowflake.
Compensation
$90,000 - $140,000
What You'll Accomplish
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python.
  • Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems.
  • Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives.
  • Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality.
  • Perform data validation, testing, and reconciliation to ensure accurate and trusted data.
  • Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing.
  • Collaborate with cross-functional teams to continuously improve the organization's cloud data platform and engineering practices.

Requirements
  • 3 - 5+ years of experience in data engineering, ETL development, or data integration.
  • Experience working with Snowflake or another modern cloud data warehouse, including data modeling, transformations, and performance optimization.
  • Hands-on experience with Azure Data Factory or a similar cloud-based orchestration tool, including pipeline orchestration and workflow management.
  • Experience working with Azure Data Lake Storage or similar cloud storage platforms.
  • Strong SQL skills, including writing complex queries, optimizing performance, and working with large datasets.
  • Experience developing data solutions using Python.
  • Understanding of data warehousing concepts, ETL/ELT processes, and dimensional modeling.
  • Experience integrating data through APIs and working with JSON, XML, or similar data formats.
  • Experience integrating enterprise SaaS applications such as Salesforce, Workday, GA4, Marketo, or similar business systems.
Preferred
  • Experience with dbt or similar modern data transformation frameworks.
  • Experience supporting AI or machine learning initiatives through data engineering.
  • Experience using AI-assisted development tools while following responsible AI and security practices.

Why Join Mindex?
For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.
In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.
Benefits
  • Fully Remote Work Environment
  • Flexible Time Off
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities

Additional Information
Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.
Physical Requirements/Conditions
  • Prolonged periods sitting at a desk and working on a computer.
  • No heavy lifting is expected. Exertion of up to 10 lbs.