Staff Data Engineer

HRB; Canada; Remote; CAD 90,000 - 120,000; Full time

Job summary

A tech company in Canada is seeking a Senior Data Engineer to establish and scale their data practice. This role involves designing and implementing data infrastructure, ensuring data quality, and enabling analytics. Candidates should have 4+ years of experience and be proficient in SQL and modern data tools such as dbt and Airflow. The position offers a flexible work environment with competitive compensation.

Benefits

Unlimited PTO

Competitive Compensation

Lifestyle Work-from-Home Benefit

Health Insurance (Life, Medical, Dental)

Choice of Equipment

Progressive, Remote-First Work Environment

Stock Options

Flexibility and Autonomy

Qualifications

• 4+ years as a Data Engineer in a data-intensive environment.
• Proven experience building scalable data pipelines using modern tools.
• Strong SQL skills and proficiency in Python or Scala.
• Solid understanding of data modeling and warehousing best practices.

Responsibilities

• Build and manage data pipelines, warehouses, and integrations.
• Implement validation, testing, and monitoring frameworks.
• Develop and maintain data models powering dashboards.
• Establish standards, documentation, and mentorship.

Skills

Data pipeline design

Data modeling

SQL proficiency

Python or Scala

ETL/ELT design

Cloud infrastructure (AWS, GCP, or Azure)

Tools

dbt

Airflow

Snowflake

BigQuery

Redshift

Kafka

Kinesis

Job description

Senior Data Engineer

Our client is building a next-generation API platform that’s transforming how companies exchange and manage business data across global supply chains. Their technology streamlines the flow of critical information — such as orders, invoices, and shipment updates — through a modern, scalable infrastructure that connects thousands of partners effortlessly.

They’re rapidly growing and looking for top-tier engineering talent to help scale their platform. The team is driven by curiosity, continuous learning, and a shared mission to modernize an industry that touches nearly every product we buy. Their culture is grounded in three core values:

• Commitment to Customers

• Learn, Iterate, Grow

• Build a Great Community

Why You’ll Love Working with Them

• Unlimited PTO

• Competitive Compensation

• Lifestyle Work-from-Home Benefit

• Health Insurance (Life, Medical, Dental)

• Choice of Equipment

• Progressive, Remote-First Work Environment

• Stock Options

• Flexibility and Autonomy

• Opportunity to make a significant impact on a fast-growing company

The Opportunity

hireVouch is helping our client hire a Senior Data Engineer to establish and scale their data practice from the ground up. This is a foundational role with the opportunity to shape how the company leverages data to drive insights, analytics, and product innovation.

You’ll own the design and implementation of the company’s data infrastructure — powering analytics, telemetry, and intelligence across their platform. As one of the first members of the data team, you’ll collaborate closely with engineering, product, and go‑to‑market teams to define data models, standardize pipelines, and implement best practices in observability, governance, and data quality.

This is a high‑impact opportunity to help a rapidly growing startup scale and make data a strategic advantage.

About You

You’re an experienced data engineer who thrives in greenfield environments and enjoys building from scratch. You take pride in crafting reliable, scalable, and elegant data pipelines that make complex data easy to use. You have strong opinions on data architecture but approach them pragmatically — shipping iteratively toward a vision.

You’re motivated by solving hard, meaningful problems that improve both customer experience and internal efficiency. Most importantly, you’re excited to be part of a company using modern technology to reinvent a critical global process.

What You’ll Do

• Design & Implement Data Infrastructure – Build and manage data pipelines, warehouses, and integrations that support analytics, monitoring, and BI needs.

• Ensure Data Quality & Observability – Implement validation, testing, and monitoring frameworks to maintain reliable, trustworthy data.

• Enable Analytics & Insights – Develop and maintain data models powering dashboards, experimentation, and KPI tracking.

• Champion Best Practices – Establish standards, documentation, and mentorship as the data practice evolves.

What You’ll Bring

• 4+ years as a Data Engineer (or similar) in a data‑intensive environment.

• Proven experience building scalable data pipelines using modern tools (e.g., dbt, Airflow, Dagster, Fivetran, Snowflake, BigQuery, or Redshift).

• Strong SQL skills and proficiency in a programming language like Python or Scala.

• Solid understanding of data modeling, ETL/ELT design, and warehousing best practices.

• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and IaC principles.

• Experience with streaming or event‑driven architectures (Kafka, Kinesis, etc.) is a plus.

• Comfort operating in startup or early‑stage environments where processes are still being defined.

• Excellent communication and collaboration skills — able to translate technical concepts to non‑technical teams.