Software Engineer- Data Engineering (Remote from Canada)

Ring Inc; Remote; CAD 90,000 - 130,000; Full time

Job summary

A tech company in Canada is looking for a Software Engineer – Data Engineering to contribute to the design and development of a next-generation data platform. This role involves leading data initiatives, creating high-performance data pipelines, and collaborating with cross-functional teams. The ideal candidate will have a Bachelor’s degree in a technical field and over 7 years of experience in data or software engineering, focusing on cloud technologies and data quality. Competitive salary, remote-first culture, and robust health benefits are offered.

Benefits

Competitive salary with equity participation

Comprehensive health benefits

Flexible, remote-first working environment

Opportunities for professional growth

Collaborative, inclusive culture

Qualifications

• 7+ years of experience in data or software engineering.
• Advanced programming skills in Python and SQL.
• Experience with orchestration/streaming frameworks.
• Strong knowledge of relational and NoSQL databases.
• Experience with cloud computing and data warehousing.

Responsibilities

• Design and maintain ETL/ELT pipelines using Python and SQL.
• Develop real-time data systems for high-throughput ingestion.
• Collaborate with teams to deliver high-quality datasets.
• Lead large-scale data initiatives from planning to execution.
• Mentor other engineers in data engineering practices.

Skills

Python

SQL

Data Quality

Data Engineering Best Practices

Mentoring

Cloud Computing

Distributed Systems

AI/Analytics Workflows

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or Related Field

Tools

Temporal

Dagster

Airflow

Spark

Kafka

Databricks

AWS

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer – Data Engineering in Canada.

In this role, you will be a key contributor to the design, development, and scaling of a next‑generation data platform that supports critical business operations and AI initiatives. You will lead the creation of high‑performance data pipelines, cloud‑based architectures, and data models that enable near real‑time analytics and machine learning. Collaborating closely with engineers, data scientists, and product teams, you will ensure data quality, observability, and operational excellence across all systems. This position requires hands‑on technical expertise, a strong understanding of distributed systems, and a passion for solving complex data challenges in a fast‑paced, innovative environment. You will also mentor other engineers and contribute to shaping the long‑term data strategy while working in a collaborative, remote‑first culture.

Accountabilities

• Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks.
• Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows.
• Develop and operate distributed, real‑time data systems for high‑throughput ingestion and processing.
• Collaborate with cross‑functional teams including AI, engineering, and product to deliver high‑quality datasets and robust data products.
• Lead large‑scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
• Mentor and provide architectural guidance to other engineers, promoting best practices in data engineering and pipeline development.
• Support testing, debugging, and QA processes to ensure system stability and data integrity.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field. Graduate degrees are a plus.
• 7+ years of progressive experience in data or software engineering, building complex data systems.
• Advanced programming skills in Python and SQL; experience with orchestration/streaming frameworks such as Temporal, Dagster, Airflow, Spark, or Kafka.
• Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, ElasticSearch, Cassandra).
• Experience with cloud computing and data warehousing platforms, preferably Databricks and AWS.
• Familiarity with ML feature stores and productionizing ML pipelines is a plus.
• Strong analytical skills, attention to data quality, and experience with both OLTP and OLAP systems.
• Experience mentoring engineers and providing technical and architectural guidance.
• Bonus: experience with energy market or weather data, dbt, DataOps practices, real‑time data technologies, or knowledge of power systems.

Benefits

• Competitive salary with equity participation and long‑term growth potential.
• Comprehensive health benefits including medical, dental, and vision coverage.
• Flexible, remote‑first working environment with unlimited vacation policy.
• Opportunities for accelerated professional growth and mentorship from industry experts.
• Collaborative, inclusive culture focused on innovation and impact.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.