Omniverse Data Engineer

Brix; Central Ontario; On-site; CAD 70,000 - 90,000; Full time

Job summary

An innovative tech startup in Ontario is seeking a passionate Junior/Mid-Level Data Engineer to design and optimize data pipelines for geospatial workflows using Nvidia Omniverse. Candidates should have a Bachelor's degree in Computer Science or Data Engineering, along with experience in data engineering and a solid foundation in Python and SQL. This role offers the chance to be part of a diverse team that values creativity and disruptive thinking in the tech industry.

Benefits

Innovative work environment

Opportunities for growth in an emerging field

Qualifications

• 2+ years of experience in data engineering with exposure to geospatial data.
• Proficiency in Python and SQL, experience with Nvidia Omniverse is highly desirable.
• Familiarity with cloud platforms like AWS or Azure.

Responsibilities

• Design, develop, and maintain data pipelines for geospatial data workflows.
• Integrate data sources with Nvidia Omniverse for enhanced simulations.
• Optimize existing data pipelines for performance and scalability.

Skills

Data pipeline development

Geospatial data management

Python

SQL

Problem-solving

Education

Bachelor's degree in Computer Science, Data Engineering, or a related field

Tools

Nvidia Omniverse

Apache Kafka

PostGIS

ArcGIS

AWS

Azure

Apache Spark

Databricks

Job description

Overview

About the job – Join our innovative team as a highly motivated Junior/Mid-Level Data Engineer with a passion for working with Nvidia Omniverse and geospatial data. You will be responsible for designing and optimizing data pipelines that integrate real-time spatial data into our simulation environments. This role requires a solid foundation in data engineering principles, with a focus on geospatial data and Nvidia Omniverse.

Team Culture

Hey! At our startup, we’re all about disrupting the norm and creating memorable customer experiences. We prioritize being customer‑centric and embracing diversity and inclusion. My leadership style is centered around fostering creativity and daring to challenge traditional approaches. If you’re inspired by disrupting industries, building outstanding customer journeys, and contributing to an inclusive team, reporting directly to me could be a thrilling adventure.

Description

• Design, develop, and maintain data pipelines to support geospatial data workflows in Nvidia Omniverse.
• Integrate various data sources (e.g., Apache Kafka, S3) with Omniverse to enhance simulation and visualization projects.
• Optimize existing data pipelines for performance and scalability using tools like Apache Spark and Databricks.
• Collaborate with cross‑functional teams to deliver actionable insights from geospatial data.
• Implement and maintain geospatial databases using PostGIS and ArcGIS.

Requirements

• Education background: Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Experience: 2+ years of experience in data engineering, with exposure to geospatial data.
• Technical skills: Proficiency in Python and SQL; Experience with PySpark and Databricks is a plus; Experience with Nvidia Omniverse or other 3D simulation platforms is highly desirable; Familiarity with cloud platforms (AWS, Azure) and related services.
• Soft skills: Strong problem‑solving skills and the ability to work in a fast‑paced environment.

Interview process

AI interview
Code assessment
Technical assessment
On‑site interview
Offer negotiation