Analytics Data Engineer

Job Title: Analytics Data Engineer

Job Location: Canada (100% Remote)

Job Description:

Overview / Objective

We are seeking an Analytics Data Engineer to join our Sports Analytics & Engineering Practice. This role is focused on turning ingested data into trusted, high-value analytical assets that power dashboards, insights, and decision-making across digital products, marketing, and fan engagement. You will own the analytics layer of the data platform, building dimensional models and transformation logic that serve as a single source of truth for analysts, data scientists, and BI teams.

Key Responsibilities

• Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating
• Develop and maintain dimensional data models optimized for analytics and BI consumption

Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Own the analytics data layer in DBT, enabling self-service analytics for business users
• Collaborate with product, analytics, and BI teams to translate business requirements into data models
• Enhance and maintain analytics codebases including DBT models, macros, tests, and documentation
• Implement data quality checks, tests, and governance-aligned transformations
• Optimize SQL for performance using partitioning, clustering, and materialized views
• Ensure semantic consistency and metric definitions across dashboards and reports
• Apply software engineering best practices including version control, CI/CD, and peer code reviews
• Support Agile development and collaborate with offshore teams for delivery and reviews.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in analytics-focused data engineering
• 3+ years of deep hands-on experience with DBT, including advanced models, macros, and packages
• Strong expertise in dimensional modeling and data warehousing concepts
• Proficiency in SQL performance tuning and large-scale analytical query optimization
• Experience working with Amazon Redshift and modern cloud data platforms
• Familiarity with Python and/or Jinja templating for analytics engineering
• Experience aligning data models with governance, privacy, and access-control requirements
• Agile experience and comfort working with extended offshore teams
• Strong ownership mindset, attention to detail, and passion for building clean, trusted data products