Hybrid Senior Data Engineer

at Knix

• Job title: Senior Data Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, ETL, Python, SQL
• Location requirements: Hybrid, Toronto, Canada

About the role

• Senior Data Engineer at Knix designing and maintaining data pipelines and models for analytics. Leading ELT/ETL development and optimizing Snowflake environment for data insights.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines using FiveTran, Airbyte, and custom Python workflows.
• Manage data ingestion and transformation across AWS services such as S3, Lambda, Glue, and Athena.
• Monitor pipeline performance and implement logging, alerting, and troubleshooting processes.
• Administer and optimize Knix’s Snowflake environment including access management, cost efficiency, and query performance.
• Design and maintain scalable data models using both dimensional and normalized approaches.
• Build and maintain reusable transformation logic in DBT to deliver high-quality, analysis-ready datasets.
• Partner with engineering, analytics, and business teams to understand data needs and deliver governed, trustworthy datasets.
• Design and optimize Looker explores, views, and dashboards to support self-serve analytics.
• Apply best practices in data quality, documentation, and data governance.
• Champion data engineering best practices including version control, testing, and peer reviews.
• Support performance tuning and optimization across the data stack.
• Stay current on emerging tools, frameworks, and trends in the modern data ecosystem to drive innovation.

Requirements

• 7+ years of experience in software and/or data engineering, with at least 4 years focused on data engineering or analytics engineering.
• Deep hands-on experience with Snowflake, DBT, FiveTran, and Looker in a production environment.
• Proficiency in Python for data workflows, automation, and orchestration.
• Strong SQL skills and experience designing scalable, performant data models.
• Working knowledge of AWS services including S3, Lambda, Glue, and Athena.
• Familiarity with Airbyte or similar tools for custom ingestion.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Understanding of data governance, access control, and performance tuning.

Benefits

• Employees feel respected and supported at Knix.
• We take an inclusive and equitable approach offering the same interview experience to every candidate we meet with.
• We know and believe that diverse and inclusive teams empower us to make better decisions and inspire innovation so that we can better serve our customers and community.
• We are committed to providing reasonable accommodations and will work with you to meet your needs.
• We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.