Intermediate Data Engineer | Ingénieur(se) de données intermédiaire

Montreal, Canada

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 10,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We've raised $104 million in venture capital following a recent Series C funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, Ridge Ventures as well as CEOs from GE, Twilio, Coupa, Toast and PagerDuty.

We are seeking an Intermediate Data Engineer to join our growing team! You will help build and maintain the data pipelines that directly power key features of the MaintainX product, enable company-wide decisions at MaintainX, and develop tools used by our data consumers daily. Your role will focus on building data pipelines and ensuring data integrity, quality, and accessibility, and applying data engineering best practices to data pipelines. You’ll support MaintainX’s product, engineering, and analytics team by enabling users to reliable, high-quality data when and where they need it.

What you’ll do:

• Build, maintain, and scale data pipelines across several business pillars, including extract and load from third party APIs and databases from our products.
• Model raw data into clean, reliable datasets that power both product features and internal analytics.
• Improve observability, testing, and monitoring to ensure reliability and performance.
• Manage data security, compliance and access.
• Collaborate with engineering, machine learning, product, and analytics teams to support their data use cases.

About you:

• 3+ years of experience as a data engineer using Databricks
• Strong Python and SQL skills
• Comfortable working in both product-facing and internal contexts
• Experience working directly with data stakeholders and translating business needs into data requirements, models and technical solutions
• Experience with a cloud platform (We use AWS).
• Experience developing and monitoring ELT/ETL pipelines
• Experience working in an agile environment

Extra consideration for candidates with the following:

• Experience with dbt, AWS DMS, Fivetran, and/or terraform
• Experience building CI/CD workflows for Databricks data pipelines (DABs, GitHub Actions, etc.)
• Experience in query optimization, resource allocation and management, cost management, and data lake performance
• Experience with cloud infrastructure (Kubernetes, Terraform, etc.).
• Experience with real-time or data-streaming pipelines
• Experience deploying and scaling ML solutions using open-source frameworks (MLFlow, etc.)
• Experience building full-stack applications (Node.js, React, TypeScript).

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.