AWS GenAI Data Engineer
Full Time
Part Time
On-site
StratEdge It consulting INC
Fitment
Dice Job Match Score™
🛠️ Calibrating flux capacitors...
Job Details
Skills
- CI/CD
- AWS
- GITLAB
- ML
Summary
Location: Charlotte, NC
Work Arrangement: Hybrid/Onsite - Charlotte, NC
Client: Cognizant
Employment Type: W2
Billing Rate: $60-$65/hr W2
Visa: Any visa status is acceptable
Job Summary
We are seeking an experienced AWS GenAI Data Engineer to design, build, and optimize scalable data foundations supporting Machine Learning, Generative AI, LLM, and Agentic AI use cases.
AWS Gen AI data engineer -
Experience: 5+ years of professional experience in data engineering, with at least 2+ years explicitly focused on designing data foundations for ML and Generative AI use cases.
Cloud Expertise (AWS): Deep, hands-on expertise with core AWS data and AI services, including Amazon Bedrock, Amazon Bedrock Agent Core, Amazon QuickSuite, S3, AWS Glue, EMR, Athena, IAM, and Lambda.
GenAI & Vector Tooling: Practical familiarity with LLMs, prompt patterns, embeddings, vector databases (e.g., OpenSearch Serverless, Pinecone, or PostgreSQL with pgvector), and RAG frameworks.
Agentic Frameworks & Specialized Delivery Agents: Hands-on experience with multi-agent orchestration via ASTRA, project/SDLC automation through AIFlow Apex, database migration automation using Proserve DBM Apex, and ETL modernisation via Apex Delivery Agent (Informatica to AWS Glue).
AI-Assisted Engineering: Experience utilizing developer tools and frameworks like Kiro for accelerated pipeline building, debugging, and automated code generation.
Programming & Frameworks: Advanced proficiency in Python and SQL, alongside distributed data processing frameworks like PySpark or Databricks.
Orchestration & DevOps: Hands-on experience with workflow orchestrators (Airflow) and CI/CD automation pipelines (GitHub Actions, GitLab, or AWS CodePipeline).
Work Arrangement: Hybrid/Onsite - Charlotte, NC
Client: Cognizant
Employment Type: W2
Billing Rate: $60-$65/hr W2
Visa: Any visa status is acceptable
Job Summary
We are seeking an experienced AWS GenAI Data Engineer to design, build, and optimize scalable data foundations supporting Machine Learning, Generative AI, LLM, and Agentic AI use cases.
AWS Gen AI data engineer -
Experience: 5+ years of professional experience in data engineering, with at least 2+ years explicitly focused on designing data foundations for ML and Generative AI use cases.
Cloud Expertise (AWS): Deep, hands-on expertise with core AWS data and AI services, including Amazon Bedrock, Amazon Bedrock Agent Core, Amazon QuickSuite, S3, AWS Glue, EMR, Athena, IAM, and Lambda.
GenAI & Vector Tooling: Practical familiarity with LLMs, prompt patterns, embeddings, vector databases (e.g., OpenSearch Serverless, Pinecone, or PostgreSQL with pgvector), and RAG frameworks.
Agentic Frameworks & Specialized Delivery Agents: Hands-on experience with multi-agent orchestration via ASTRA, project/SDLC automation through AIFlow Apex, database migration automation using Proserve DBM Apex, and ETL modernisation via Apex Delivery Agent (Informatica to AWS Glue).
AI-Assisted Engineering: Experience utilizing developer tools and frameworks like Kiro for accelerated pipeline building, debugging, and automated code generation.
Programming & Frameworks: Advanced proficiency in Python and SQL, alongside distributed data processing frameworks like PySpark or Databricks.
Orchestration & DevOps: Hands-on experience with workflow orchestrators (Airflow) and CI/CD automation pipelines (GitHub Actions, GitLab, or AWS CodePipeline).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91171926
- Position Id: OOJ - 1472-476-1786544100
- Posted 4 hours ago
Company Info
About StratEdge It consulting INC
We are a specialized IT consulting firm dedicated to providing strategic solutions and robust technical support tailored to meet your organization's unique technology needs. With deep expertise across cloud infrastructure, networking, cybersecurity, and systems management, our team helps businesses optimize their technology landscape, enhance operational efficiency, and drive innovation.
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