Remote Staff Data Engineer - Scale Data Platform

Cority; Remote; CAD 149,000 - 191,000; Full time

Job summary

A global enterprise EHS software provider is seeking an experienced Staff Data Engineer to lead the design, development, and optimization of their data infrastructure. This role involves architecting scalable data solutions, mentoring engineering teams, and driving strategic decisions. Key responsibilities include establishing data governance practices and collaborating with various teams to support analytics and operational workloads. The ideal candidate will have extensive experience in software engineering and data engineering, with strong skills in programming and distributed systems.

Benefits

Competitive health benefits

Annual fitness allowance

Mental health support

Subsidized internet allowance

Home office allowance

Qualifications

• 10+ years of software engineering experience, including 5+ years in data engineering.
• Experience designing and implementing data pipelines and systems.
• Proven track record in making significant architectural contributions.

Responsibilities

• Lead the end-to-end data architecture for scalable solutions.
• Establish best practices for data quality and governance.
• Collaborate with product teams for data-driven decisions.

Skills

Distributed systems

Database internals

Data modeling

Python programming

SQL proficiency

NoSQL databases

Communication skills

Education

10+ years of software engineering experience

5+ years in data engineering roles

Tools

PostgreSQL

Apache Airflow

Google Cloud Platform

AWS

Kafka

Job description

A global enterprise EHS software provider is seeking an experienced Staff Data Engineer to lead the design, development, and optimization of their data infrastructure. This role involves architecting scalable data solutions, mentoring engineering teams, and driving strategic decisions. Key responsibilities include establishing data governance practices and collaborating with various teams to support analytics and operational workloads. The ideal candidate will have extensive experience in software engineering and data engineering, with strong skills in programming and distributed systems.