Senior Data Engineer - Cloud & AI Platforms - AIRLHV

Navitas, Inc.

New York, 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

$ 165K

Job location

New York, United States of America

Tech stack

Artificial Intelligence

Amazon Web Services (AWS)

Azure

Google BigQuery

Cloud Computing

Information Engineering

Python

Cloud Services

Cloud Platform System

PyTorch

Snowflake

AI Platforms

Machine Learning Operations

Azure

Data Pipelines

Databricks

Job description

We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases. Key Responsibilities:

Architect and develop scalable data pipelines and cloud-native data solutions
Collaborate with data scientists, analysts, and business stakeholders
Ensure high performance, data quality, and governance across platforms

Requirements

Strong experience in data engineering and cloud-based architectures
Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery
Proficiency in AWS, Azure, or GCP environments

Nice to Have: