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Cloud Data Engineer – AI & Analytics Transformation
Job Description
NavitasPartners is seeking a Cloud Data Engineer to lead AI and analytics transformation efforts. The role focuses on building modern data ecosystems and enabling smarter decision-making through advanced analytics. Based in Los Angeles, CA with hybrid options, the position offers $40/hour on a contract or full-time basis, with potential remote or hybrid work across the US and Canada.
Overview
Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics.
Responsibilities
- Design and implement modern data architectures using cloud platforms
- Build and optimize ETL/ELT pipelines for large-scale datasets
- Work closely with cross-functional teams to deliver business insights
Requirements
- Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery
- Strong cloud experience (AWS, Azure, GCP)
- Experience in distributed data processing and pipeline orchestration
Technologies
- Snowflake
- Databricks
- BigQuery
- AWS
- Azure
- GCP
Nice to Have
- Exposure to ML engineering and MLOps practices
- Experience with GenAI or Agentic AI solutions
- Understanding of enterprise AI governance frameworks
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