Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and maintain scalable batch and real-time data pipelines utilizing modern cloud technologies.

• Collaborate with product and engineering teams to implement data-driven features and services that support the safety mission.

• Assist with ETL/ELT processes, as well as manage data lake, data warehouse, and data lakehouse environments.

• Guarantee data quality, reliability, and observability through effective monitoring, alerting, and documentation practices.

• Engage in architectural discussions and contribute to the long-term strategy for the data platform.

• Work alongside product, engineering, analytics, and data science teams.

• Facilitate the productionization of models, ensure the quality of training data, and establish reliable data feeds for analytical and predictive applications.

⛳️ Requirements

• A degree in Computer Science, Data Engineering, Information Technology, or a related field.

• Over 3 years of experience in a Data Engineering position.

• Knowledge of event-driven architecture and technologies like Apache Kafka or Amazon MSK.

• Familiarity with Infrastructure as Code and CI/CD best practices across multi-environment deployment workflows.

• Practical experience with Terraform and GitHub Actions.

• Experience with monitoring and alerting tools such as CloudWatch, Datadog, or PagerDuty.

• Proficient in ETL/ELT and orchestration tools, including AWS Glue Studio, Matillion, and AWS Step Functions.

• Expertise in AWS data services such as Redshift, EMR, S3, Lambda, Kinesis, and MSK.

• Strong command of SQL, Python, Java, and/or Scala.

• A pragmatic problem-solving mindset and a passion for facilitating enhanced decision-making through data.

• Recognition of the importance of clean architecture and thorough documentation.

• Ability to thrive in agile teams and collaborate effectively with product, engineering, and analytics partners.

• Experience with data modeling and event-driven architectures.

• Familiarity with AI-assisted development tools like Claude Code, Amazon Q Developer, and GitHub Copilot.

🏝️ Benefits

• Competitive base salary along with an annual compensation review.

• Comprehensive health and dental benefits*

• Support for mental health and wellness.

• Flexible work arrangements available.

• Paid vacation, personal days, and sick leave*

• Opportunities for professional development.

• Education funding available.

• A collaborative, inclusive, and mission-driven workplace culture.

• Exclusive access to perks and discounts.

• A flexible ‘Dress for Your Day’ work environment.

• Accommodation provided during the recruitment process for candidates who require it.