Senior / Staff Data Engineer

About ​U​s

​We are the API for the EDI platform connecting the world's supply chain. Any company that buys​ or sells products trades Electronic Data Interchange (EDI) data in an effort to streamline​ communication — exchanging transactions like purchase orders, invoices, shipment notices,​ and more. Orderful is turning a legacy industry on its head, making EDI data trading effortless.

Our API leverages modern technology that dramatically improves infrastructure for our​ customers. Enterprises connect once to our API and trade EDI transactions with their supply​ chain partners, leveraging Orderful's growing network of thousands of companies.

We're growing rapidly and continually looking for top-notch talent to join our team. Ideal​ candidates have a desire to be part of building something unique and important, with a strong​ curiosity to learn and grow.

The Role

​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.

About You





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.

What You'll Do

- 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

What We're Looking For





- 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

Nice to Have

- 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

What We Offer

- Competitive compensation and stock options
- U​ limited PTO
- Work from home 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

Our Core Values

​Our values shape everything we build and how we work together:

- Customers Win — We put customers at the center of every decision and work to​ understand what they value
- Learn, Iterate, Grow — We learn from our experiences, celebrate progress, and​ continually pursue growth
- Build a Great Community — We embrace differences and act with integrity, empathy,​ reliability, and transparency
- We Show That We Care — We lead with empathy, honor our commitments, and take​ ownership of outcomes

📌 Sr/Staff Data Engineer (Canada)
🏢 hireVouch
📍 Canada