Overview
On Site
Full Time
Skills
Python
SQL
Apache Spark
Databricks
Cloud Computing
Jenkins
Java
Scala
UI
React.js
Management
Extract
Transform
Load
Data Quality
Privacy
Documentation
Data Flow
Microsoft
Training
Artificial Intelligence
LangChain
Microsoft Certified Professional
Workflow
API
Functional Programming
Design Patterns
Thread
Continuous Integration
Continuous Delivery
Process Flow
Docker
Publishing
Microsoft Azure
Job Details
Data / AI Engineer
Must Have: Python, SQL, Spark, Databricks, Cloud (Azure), Jenkins/Airflow, FastAPI, Langgraph, Langchain, MCP, Java, Scala, OpenAI
Nice to have: UI experience with ReactJS, AKS, Docker
Develop and manage scalable data pipelines.
Integrate data from multiple sources, ensuring consistency and reliability.
Build and deploy ETL process flows.
Understand data quality, validation, and privacy procedures.
Create and maintain clear documentation for data flows, systems, and processes.
Strong knowledge of Microsoft OpenAI APIs.
Solid understanding of embedding models and similarity search.
Proficient in building RAG pipelines.
Experienced in designing, building, training, and validating AI workflows using Langgraph and Langchain.
Work collaboratively with data engineers to create data products for agentic workflows.
Utilize the MCP pattern to design, build, and implement solutions.
Optimize agent workflows for greater accuracy and performance.
Familiar with agentic monitoring.
Integrate agentic workflows with APIs and UIs.
Experience in software system development, including API creation, functional programming, design patterns, threads, and schedulers.
Skilled in building CI/CD process flows.
Strong knowledge of building Docker images and publishing to ACR (Azure Container Repository).
Document model architectures, parameters, and development processes.
Note: Job Description and Background Check
Candidates may be subjected to a Background Check /Drug Test as required by the end client before the assignment starts.
Must Have: Python, SQL, Spark, Databricks, Cloud (Azure), Jenkins/Airflow, FastAPI, Langgraph, Langchain, MCP, Java, Scala, OpenAI
Nice to have: UI experience with ReactJS, AKS, Docker
Develop and manage scalable data pipelines.
Integrate data from multiple sources, ensuring consistency and reliability.
Build and deploy ETL process flows.
Understand data quality, validation, and privacy procedures.
Create and maintain clear documentation for data flows, systems, and processes.
Strong knowledge of Microsoft OpenAI APIs.
Solid understanding of embedding models and similarity search.
Proficient in building RAG pipelines.
Experienced in designing, building, training, and validating AI workflows using Langgraph and Langchain.
Work collaboratively with data engineers to create data products for agentic workflows.
Utilize the MCP pattern to design, build, and implement solutions.
Optimize agent workflows for greater accuracy and performance.
Familiar with agentic monitoring.
Integrate agentic workflows with APIs and UIs.
Experience in software system development, including API creation, functional programming, design patterns, threads, and schedulers.
Skilled in building CI/CD process flows.
Strong knowledge of building Docker images and publishing to ACR (Azure Container Repository).
Document model architectures, parameters, and development processes.
Note: Job Description and Background Check
Candidates may be subjected to a Background Check /Drug Test as required by the end client before the assignment starts.
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.