Sr/Staff Data Engineer at hireVouch in Canada, Remote

Job description

• ​W​e are looking for a Senior or Staff Data Engineer to establish and scale our data practice​ from its humble beginnings. This role is foundational — you'll shape how we leverage data to
• drive business insights and product innovation, owning the design and implementation of​ Orderful's data infrastructure end-to-end.
• As one of the first members of the data team, you'll work alongside engineers, product, and​ go-to-market teams to define data models, standardize pipelines, and introduce best practices​ in observability, governance, and data quality. Staff-level candidates will additionally be​ expected to set technical direction for the data function, influence cross-team architecture​ decisions, and mentor engineers across the org. This is a high-impact opportunity to build​ something that will influence how Orderful understands and optimizes its business for years to​ come.
• You're an experienced data engineer who thrives in greenfield environments and ambiguity. You​ take pride in crafting reliable, scalable, and elegant data pipelines that make complex data
• simple to use. You have strong opinions about data architecture but remain pragmatic —​ shipping iteratively against a vision.
• You're motivated by solving hard problems that directly impact customer experience and internal​ efficiency, and you're excited by Orderful's mission to modernize global supply chain​ connectivity.

Responsibilities

• - Design and implement data infrastructure — Build and manage data pipelines,​ warehouses, and integrations that support analytics, monitoring, and business
• intelligence needs
• - Ensure data quality and observability — Implement robust validation, testing, and​ monitoring frameworks to guarantee reliable data
• - Enable analytics and insights — Develop and maintain data models that power​ dashboards, experimentation, and KPI tracking
• - Champion best practices — Drive data engineering standards, documentation, and​ mentorship as the practice grows
• - (Staff) Set technical direction — Influence data architecture decisions across teams,​ define the long-term roadmap for Orderful's data platform, and serve as the go-to
• technical leader for the data function

Requirements

• - 5+ years of experience as a Data Engineer or in a similar role in a data-intensive​ environment (Staff candidates typically bring 8+ years and a track record of technical​ leadership)
• - Proven track record building scalable data pipelines using modern tools (e.g., dbt,​ Airflow, Dagster, Fivetran, Snowflake, BigQuery, Redshift)
• - Proficiency in SQL and a programming language like Python or Scala
• - Experience with data modeling, ETL/ELT design, and data warehousing best practices
• - Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and​ infrastructure-as-code principles
• - Comfort working in startup or early-stage environments — setting foundations and​ processes where none exist
• - Excellent communication skills; able to translate complex data concepts for​ non-technical stakeholders
• - Familiarity with streaming or event-driven architectures (Kafka, Kinesis, etc.)
• - Experience mentoring engineers or leading data platform initiatives across teams​ (especially relevant for Staff)
• - Background in supply chain, logistics, or B2B SaaS data environments

Skills

Required

• SQL
• Python or Scala
• dbt
• Airflow
• Dagster
• Fivetran
• Snowflake
• BigQuery
• Redshift
• AWS, GCP, or Azure
• Infrastructure-as-code

Preferred

• Kafka
• Kinesis
• Streaming or event-driven architectures
• Mentoring engineers
• Leading data platform initiatives

Benefits

• - Competitive compensation and stock options
• - U​ limited PTO
• - Remote work with flexibility
• - Lifestyle work-from-home benefit
• - Health insurance (medical, dental, and life)
• - Choice of equipment
• - Opportunity to make a significant impact at a high-growth company