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Cloud Data Engineer – AI & Analytics Transformation
Job Description
NavitasPartners is offering a contract Cloud Data Engineer role in San Francisco, CA (hybrid) with an hourly rate of USD 40. This position centers on designing and implementing modern data architectures and ETL/ELT pipelines to empower enterprise data initiatives and AI-driven decision making.
Overview
Be part of a high‑impact team focused on enterprise data and AI transformation. The role emphasizes building next‑generation data ecosystems and enabling intelligent decision‑making through advanced analytics.
Responsibilities
- Design and deploy scalable data architectures on cloud platforms to support analytics and AI initiatives.
- Develop and optimize ETL and ELT pipelines for large‑scale data workloads.
- Collaborate with cross‑functional teams to translate data into actionable business insights.
Requirements
- Proficiency with data engineering tools such as Snowflake, Databricks, or BigQuery.
- Solid experience with cloud platforms (AWS, Azure, or Google Cloud).
- Experience with 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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