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Data Analytics Platform Engineer Jobs in Raleigh, NC

RIT Solutions, Inc.

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system ... data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

... analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring ...

Security Journey

Senior Platform Engineer

Apex, NC · On-site

$80K - $109K/yr

DataDog Data & Messaging * PostgreSQL * Redis * Kafka Languages & App Stack * Go * Python * Ruby * React What We're Looking For Required * 5+ years of experience in Platform Engineering, DevOps, SRE, ...

Duke University

Analytics Engineer

Durham, NC · On-site

The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform institutional data into meaningful insights ...

Duke University

Analytics Engineer

Durham, NC · On-site

The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform institutional data into meaningful insights ...

Deloitte

Manager - SAP Data & Analytics

Raleigh, NC · On-site

Experience with 2+ reporting or analytics platforms, such as SAP BusinessObjects, Microsoft Power ... Experience with 2+ data integration or modeling capabilities, such as Core Data Services views ...

ARA

Research Engineer-Data & Analytics

Raleigh, NC · On-site

Application areas involve data analytics, machine learning, probabilistic modeling, intelligent systems, and software systems supporting these methods. The engineer/scientist will join a multi ...

Vulcan Elements

Sr. SCADA/HMI Platform Engineer

Benson, NC · On-site

$84K - $116K/yr

As the SCADA/HMI Platform Engineer you will technically lead the selection of the SCADA, historian ... Familiarity with Python, C++, or other highlevel languages for automation or data analytics.

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization. The ideal candidate is a hands-on data engineering leader with ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

... data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization. The ideal candidate is a hands-on data engineering leader with ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

... data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization. The ideal candidate is a hands-on data engineering leader with ...

Worky

POS Client Platform Engineer

Durham, NC · On-site

$125 - $150/hr

... platform from outside * Own and extend the client extensibility model: dependency injection and ... Strong analytical and TypeScript/OO programming skills, including generics, declaration files, and ...

CAPTRUST

Analytics Engineer

Raleigh, NC · On-site

Familiarity with Microsoft Fabric, Power BI semantic models, or similar analytics platforms. * Experience partnering closely with Data Engineers and Data Quality roles in a team-based analytics ...

CapTrust Advisors, LLC

Analytics Engineer

Raleigh, NC · On-site

$100 - $125/hr

Familiarity with Microsoft Fabric, Power BI semantic models, or similar analytics platforms. * Experience partnering closely with Data Engineers and Data Quality roles in a team‑based analytics ...

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Showing results 21-40

All JobsData Analytics Platform Engineer JobsData Analytics Platform Engineer Jobs in Raleigh, NC

Data Analytics Platform Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data analytics platform engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analytics platform 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 is a data analytics platform engineer?

A Data Analytics Platform Engineer is a technology professional who designs, builds, and maintains the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various data platforms, cloud services, and analytics tools to ensure data can be accessed efficiently and securely by analysts and data scientists. Their responsibilities include integrating different data sources, optimizing data pipelines, ensuring scalability and performance, and implementing best practices for data governance and security. This role is vital for organizations aiming to leverage data-driven insights to make informed business decisions.

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

To thrive as a Data Analytics Platform Engineer, you need expertise in data engineering, cloud platforms, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with technologies like Apache Spark, Hadoop, SQL/NoSQL databases, and cloud services (AWS, Azure, or GCP) as well as certifications in these areas is highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities are essential for building robust, scalable analytics solutions and ensuring seamless data processing to drive business insights.

What are some common challenges faced by data analytics platform engineers when integrating new data sources?

Data Analytics Platform Engineers often encounter challenges such as ensuring compatibility between diverse data formats, maintaining data quality during ingestion, and managing data security and privacy concerns. Integrating new sources may also require updating data pipelines, coordinating with data owners, and troubleshooting connection or schema issues. Effective communication with stakeholders and thorough testing are essential to minimize disruptions and maintain platform reliability.

What is the difference between Data Analytics Platform Engineer vs Data Engineer?

AspectData Analytics Platform EngineerData Engineer
Primary FocusBuilding and maintaining analytics platforms and tools for data analysisDesigning, constructing, and maintaining data pipelines and infrastructure
Skills & CertificationsData platform tools, SQL, cloud services, analytics frameworksETL processes, database systems, programming (Python, Java), cloud platforms
Work EnvironmentCollaborates with data analysts and data scientistsWorks closely with data engineers and software developers
Industry UsageUsed in organizations focusing on data analytics and BIUsed across industries for data infrastructure and pipeline development

While both roles involve working with data infrastructure, Data Analytics Platform Engineers focus on creating platforms for data analysis, whereas Data Engineers build the pipelines and systems that enable data flow and storage. Understanding these differences helps in choosing the right career path or job fit.

Cloud Platform Engineer

Durham, NC • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$53.75 - $72/hr

Full-time

Re-posted 15 hours ago

Job description

Job Summary:
RIT Solutions, Inc. is a company that specializes in cloud solutions, and they are seeking a Cloud Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system performance, developing and deploying AI solutions on AWS, and maintaining scalable data processing workflows.
Responsibilities:
• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
Qualifications:
Required:
• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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