Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NAVID SENEHI, D.D.S., M.D., INC.

San Francisco, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Compensation

$ 166K

Job location

San Francisco, United States of America

Tech stack

Amazon Web Services (AWS)

Azure

Big Data

Google BigQuery

Cloud Database

Data Architecture

ETL

Distributed Computing Environment

Machine Learning

Software Tools

Google Cloud Platform

Snowflake

Data Analytics

Machine Learning Operations

Virtual Agents

Data Pipelines

Databricks

Job description

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., * 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

Nice to Have:

Exposure to ML engineering and MLOps practices
Experience with GenAI or Agentic AI solutions
Understanding of enterprise AI governance frameworks

Benefits & conditions

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