IG
Technology Lead | Cloud Integration | Azure Data Factory (ADF)
IMCS Group Inc
- 🇺🇸 United States
- On-site
- Staff / Principal
- 12 hours ago
- Azure Data Factory
- AI
- Databricks
- Machine Learning
- Azure Databricks
- RAG
- .NET
- Core Data
- AI/ML
- Large Language Models
- Copilot
- Azure AI
- Azure
- PySpark
- Python
12 hours ago
Description: POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING:
⦁UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
⦁We prioritize endorsing those with complete and accurate information
⦁Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
⦁Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
⦁Please submit profiles within the max proposed rate***
⦁Please make sure to TAG the profiles correctly if the candidate has WORKED FOR *** as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate’s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Technology Lead | Cloud Integration | Azure Data Factory (ADF) – AI Builder/Senior Software Engineer (Databricks and GenAI)
Work Location & Reporting Address: Hartford, CT 06103 (1st preference) or Minnetonka, MN 55345 (2nd preference) (Onsite-Hybrid. Local candidates only)
Contract duration: 6
MAX VENDOR RATE: *** per hour max
Target Start Date: 01 Nov 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
⦁Azure Databricks, with good knowledge of Generative AI technologies, including LLMs, RAG, AI Agents, Vector Databases, and Prompt Engineering
Nice to Have Skills:
⦁.Net
Detailed Job Description:
AI Builder / Senior Software Engineer (Databricks & GenAI)
Required Skills & Attributes
⦁Design, build, and maintain scalable, secure, and high performance batch and streaming data pipelines using modern data engineering practices
⦁Lead the modernization and migration of on premise data platforms to cloud native architectures, owning infrastructure, networking, security, and deployment pipelines
⦁Develop and maintain core data platform components that support reliable ingestion, transformation, enrichment, and consumption of enterprise data assets
⦁Collaborate with data domain experts across Operations, Product, Finance, Value Analytics, and other domains to understand data sources and design efficient, connected data models
⦁Ensure data accuracy, quality, relevance, and governance by implementing validation, monitoring, documentation, and security controls
⦁Analyze large datasets to identify trends, patterns, and actionable insights; perform data analysis to support analytics, AI use cases, and business strategy
⦁Enable reporting and analytics by making curated, trusted datasets available to BI and downstream consumers
⦁Partner with AI/ML Engineers and Leads to design, build, and improve machine learning models from scratch or enhance existing models
⦁Contribute to experimentation with Client ML and Generative AI architectures
⦁Help design and implement AI powered enterprise applications
⦁Analyzes and investigates
Preferred Skills & Attributes
⦁1+ year of experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and Prompt Engineering.
⦁Experience developing AI-driven solutions using GitHub Copilot, Microsoft 365 Copilot, Azure AI Studio, and enterprise GenAI platforms.
⦁Experience with healthcare domain
Primary Responsibilities
⦁Design, develop, and maintain scalable enterprise applications and AI-powered solutions using .NET, Azure, and Generative AI technologies.
⦁Build and integrate AI capabilities such as conversational assistants, intelligent search, summarization, content generation, and workflow automation into business applications.
⦁Implement secure, reliable, and high-performing software solutions while adhering to enterprise architecture, compliance, and governance standards.
⦁Drive continuous improvement through automation, AI-assisted development practices, code quality enhancements, and operational excellence initiatives
Minimum Years of Experience:
⦁4 to 6 years
Certifications Needed:
⦁None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
⦁Azure Databricks
⦁PySpark
⦁Python
Interview Process (Is face to face required?)
⦁Virtual
Any additional information you would like to share about the project specs/nature of work:
Custom Fields:
Name: Intake Call Completed
Value: true
Name: Intake Call Requested
Value: true
EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.
Technology Lead | Cloud Integration | Azure Data Factory (ADF) · IMCS Group Inc