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Platform Automation Engineer Jobs in Rhode Island

Worky

Process Automation Senior Developer

Johnston, RI · On-site

$120 - $160/hr

NET to resolve complex automation logic and extend platform capabilities. * Participate in solution ... Utilizing programming languages including C#, VB.NET, VBA, Python to build custom code stages and ...

Bcbsri

Senior Data Platform Engineer

Providence, RI · On-site +1

$102K - $163K/yr

Develop and maintain infrastructure, platform configurations, deployment standards, automation ... Engineer database platform solutions that align with enterprise security, data governance ...

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Showing results 21-40

All JobsPlatform Automation Engineer JobsPlatform Automation Engineer Jobs in Rhode Island

Platform Automation Engineer information

See Rhode Island salary details

$36.2K

$104.9K

$159.6K

How much do platform automation engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for platform automation engineer in Rhode Island is $104,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $120,900.00 per year, depending on experience, location, and employer.

What is a platform automation engineer?

A Platform Automation Engineer is a technology professional who focuses on designing, developing, and maintaining automated systems and tools that streamline the management and deployment of software platforms. Their work often includes creating scripts, implementing infrastructure as code, automating workflows, and ensuring the reliability and scalability of IT environments. These engineers collaborate with development, operations, and QA teams to improve efficiency, reduce manual intervention, and support continuous integration and delivery pipelines.

What are the key skills and qualifications needed to thrive as a platform automation engineer?

To thrive as a Platform Automation Engineer, you need strong programming skills (typically in Python, Bash, or similar languages), experience with infrastructure-as-code, and a solid understanding of cloud platforms, often supported by a degree in computer science or related fields. Familiarity with tools like Terraform, Ansible, Jenkins, and container orchestration systems (e.g., Kubernetes) is usually required, along with relevant cloud certifications. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that set top candidates apart. These competencies enable efficient, reliable automation of infrastructure and deployment processes, ensuring scalability and operational excellence.

What are some typical challenges platform automation engineers face when integrating new automation tools into existing infrastructure?

Platform Automation Engineers often encounter challenges such as ensuring compatibility between new automation tools and legacy systems, minimizing downtime during integration, and maintaining security standards. They must also collaborate closely with development, operations, and security teams to align automation solutions with organizational workflows. Staying adaptable and proactive in solving unforeseen integration issues is key to success in this dynamic environment.

What is the difference between Platform Automation Engineer vs DevOps Engineer?

AspectPlatform Automation EngineerDevOps Engineer
CredentialsTypically requires certifications in cloud platforms, scripting, and automation toolsOften holds certifications in cloud, CI/CD, and scripting as well
Work EnvironmentFocuses on automating platform infrastructure, often within cloud or data center environmentsWorks across development and operations teams to streamline deployment and integration
Employer & IndustryUsed in cloud service providers, tech companies, and enterprises with large infrastructureCommon in software development, IT, and tech industries emphasizing continuous delivery

While both roles involve automation and cloud technologies, a Platform Automation Engineer primarily focuses on automating infrastructure and platform services, whereas a DevOps Engineer integrates development and operations processes to improve deployment and system reliability.

What cities in Rhode Island are hiring for Platform Automation Engineer jobs?

Cities in Rhode Island with the most Platform Automation Engineer job openings:

Platform Automation Engineer jobs near you

Lead Data Engineer - Databricks & Microsoft Fabric

Spyglass

Lincoln, RI • On-site

$93K - $123K/yr

Contractor

Re-posted 29 days ago

Job description

Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire
Lead Data Engineer
Databricks & Microsoft Fabric
Overview
Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.
This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.
The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.
Responsibilities
• Design and implement modern data platforms using Databricks and Microsoft Fabric
• Build and maintain scalable data pipelines and ingestion frameworks
• Develop and optimize Spark and PySpark workloads within Databricks
• Implement lakehouse and data warehouse architectures
• Design and manage data models supporting analytics and reporting
• Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
• Implement data quality, governance, and security best practices
• Provide technical leadership and mentorship to data engineering team members
• Optimize performance, reliability, and scalability of data platforms
Requirements
• 7+ years of experience in data engineering or data platform development
• Strong hands-on experience with Databricks and Apache Spark
• Experience implementing Microsoft Fabric data solutions
• Proficiency in Python and PySpark
• Experience working with Azure data services and cloud-based data platforms
• Experience designing modern lakehouse or data warehouse architectures
• Strong understanding of data pipeline design, ETL/ELT processes, and data modeling
Preferred
• Experience supporting AI or machine learning workloads
• Experience working in enterprise data environments
• Familiarity with CI/CD and data platform automation

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