Lead Data Engineer - Enterprise Cloud & AI Solutions - AIRLHV
Navitas, Inc.
Chicago, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 100KJob location
Chicago, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Google BigQuery
Information Engineering
Data Systems
Google Cloud Platform
Cloud Platform System
Large Language Models
Snowflake
HybridCloud
Machine Learning Operations
Databricks
Job description
We are looking for a Lead Data Engineer to support enterprise-scale cloud data and AI initiatives. This role will focus on delivering high-performance data solutions and enabling AI-driven innovation across business units.
Requirements
-
Strong background in data engineering with tools like Databricks, Snowflake, or BigQuery
-
Experience with cloud ecosystems (AWS, Azure, GCP)
-
Hands-on implementation of large-scale data solutions
Nice to Have:
-
Experience with ML/AI engineering and MLOps pipelines
-
Exposure to GenAI, LLMs, or agent-based AI systems
-
Understanding of AI governance, compliance, and ethical AI practices
Benefits & conditions
- $85,000-100,000 per year, + $150,000-170,000 per year
About the company
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