Lead the ingestion of large volumes of data into cloud data warehouses, with a focus on performance, reliability, and scale
Serve as the primary technical point of contact for a single enterprise client, building a deep understanding of their business needs, data landscape, and priorities
Design and build scalable data models that support the client's analytical and operational goals, from initial design through delivery
Drive end-to-end project execution, coordinating across workstreams and keeping stakeholders aligned on progress and decisions
Identify and implement improvements to internal workflows and tooling that increase efficiency and repeatability across the engagement

Requirements

4–7 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; GCP Professional Data Engineer certification strongly preferred
Track record of owning data projects end-to-end — from scoping and design through delivery — while coordinating the work of other team members
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 operates with autonomy and takes ownership of outcomes.

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-solvingautonomyownershipstakeholder alignmentcoordinationefficiency improvementcommunicationproject executionunderstanding business needs

Certifications

GCP Professional Data Engineer