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Live In Data Platform Engineer Jobs in Raleigh, NC

AI Data Engineer Senior Consultant

Raleigh, NC · On-site

$111.30K - $133.70K/yr

Deloitte is a leading professional services firm that transforms technology platforms and drives ... Required : • Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or ...

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... A production agentic workflow live in the JAGGAER platform, automating a meaningful step of a ...

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... A production agentic workflow live in the JAGGAER platform, automating a meaningful step of a ...

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... A production agentic workflow live in the JAGGAER platform, automating a meaningful step of a ...

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... A production agentic workflow live in the JAGGAER platform, automating a meaningful step of a ...

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... A production agentic workflow live in the JAGGAER platform, automating a meaningful step of a ...

... in our warehouse, while also building and activating audiences through our customer data platform ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

... in our warehouse, while also building and activating audiences through our customer data platform ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

Support DevOps practices for CI/CD and containerized deployments where applicable. Experience ... Hands-on experience building data applications in a major cloud platform, preferably AWS.

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

Support DevOps practices for CI/CD and containerized deployments where applicable. Experience ... Hands‑on experience building data applications in a major cloud platform, preferably AWS.

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Showing results 1-20

Live In Data Platform Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do live in data platform engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for live in data 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 the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Raleigh, NC? The most popular types of Data Platform Engineer jobs in Raleigh, NC are:
What are popular job titles related to Live In Data Platform Engineer jobs in Raleigh, NC? For Live In Data Platform Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Raleigh, NC look for? The top searched job categories for Live In Data Platform Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Live In Data Platform Engineer jobs? Cities near Raleigh, NC with the most Live In Data Platform Engineer job openings:
AI Data Engineer Senior Consultant

AI Data Engineer Senior Consultant

Deloitte

Raleigh, NC • On-site

$111.30K - $133.70K/yr

Full-time

Posted 11 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that transforms technology platforms and drives innovation. They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and GenAI foundations for Human Capital AI products and analytics, collaborating with various teams to deliver reliable and scalable AI solutions.
Responsibilities:
• Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including application programming interfaces, services, pipelines, and containerized or serverless components
• Build and operationalize large language model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns
• Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry
• Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills
• Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and incident response practices for production artificial intelligence and data solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field
• 4+ years of experience building and delivering large language model or generative artificial intelligence solutions using Claude-, GPT-, or Gemini-class models, including prompt design, context design, tool calling, evaluation, and production integration
• 4+ years of experience implementing retrieval-augmented generation, document processing, embeddings, and vector or hybrid search in enterprise environments
• 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines, structured and unstructured data processing, and feature engineering
• 4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field
• Cloud or artificial intelligence or machine learning certification
• 4+ years of experience with Workday, SAP SuccessFactors, Oracle HCM, Salesforce, or human resources data domains
• 4+ years of experience operationalizing machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management
• 4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute
• 4+ years of experience translating business requirements into acceptance criteria and release increments
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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