Engineer and optimize the ingestion of large volumes of data into cloud data warehouses
Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks
Design and build scalable data models that support the client's analytical and operational goals
Drive improvements to internal workflows and tooling to increase efficiency and repeatability
Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions

Requirements

2–5 years of experience as a Data Engineer or Analytics Engineer, with strong proficiency in SQL and Python
Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery
Strong data modeling skills, with the ability to design scalable, well-structured models for both analytical and operational use cases
Experience working with BI and visualization tools (e.g., Looker, Tableau, Power BI, or similar)
Solid understanding of relational databases and core data warehousing principles
Strong analytical thinking and problem-solving abilities
Self-starter who thrives in autonomous environments and takes ownership of outcomes
Naturally curious, with a passion for learning and applying new tools and technologies

Benefits

100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage
Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid)
401(k) or RRSP (Canada) Program with Generous Company Match
Spot bonuses for major milestones and product feature launches.
Clear opportunities for career progression and cross-functional collaboration.
Meaningful equity so you share in the value you help create.
Flexible, goal-based work style.
Flexible PTO with trust and autonomy.
Monthly, company-wide Recharge Days to truly unplug.
Annual home office stipend to support your workspace.
Quarterly Hackathons to focus on team passion projects
Annual professional development stipend
Work directly with a world-class executive team
A learners’ mindset culture

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata modelingcloud data warehousesBigQuerySnowflakeRedshiftGoogle Cloud PlatformBI toolsdata warehousing principles

Soft Skills

analytical thinkingproblem-solvingself-starterownershipcuriositycommunicationcollaborationstrategic thinkingefficiency improvementworkflow optimization