Data Engineer – Data Platform, AI-Enabled

🔥 13 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Petal

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Petal is a company that provides a data-driven, secure cloud platform for healthcare organizations, designed to orchestrate patient care delivery workflows in real-time. They offer solutions for capacity management, workforce scheduling, care coordination, and secure messaging among other services. Petal focuses on interoperability, artificial intelligence, and cloud computing to enhance healthcare access worldwide, serving over 200 facilities globally. Their services help healthcare professionals in patient self-scheduling, immunizations, and reducing patient complaints significantly.

📋 Description

• Partner with product, engineering, customer-facing teams, and business users to build trusted, well-modelled, AI-ready data products • Define and implement a semantic layer for human, BI-tool, and AI-system data consumption • Support a federated BI model enabling safe self-service insights • Use AI tools daily to accelerate development, testing, documentation, debugging, analysis, and design • Establish practical AI-first development patterns for the team • Lead by example in using AI while maintaining quality, security, governance, and trust • Own the ongoing operation of services beyond development • Participate in the Enterprise On-Call and Incident Response Process • Teach, coach, and influence colleagues adopting AI-first ways of working

🎯 Requirements

• Strong data engineering experience, including SQL, data modelling, data processing pipelines, testing, documentation, and data integrations in production environments • Ability to build high-quality data products with clear ownership, definitions, tests, lineage, and governance • Strong understanding of AI-ready semantic modelling, metrics, business definitions, secure API data exposures, and self-service analytics • Platform/product mindset supported by expertise in cloud infrastructure and DevOps, data architecture, and reusable capabilities • Comfort working in a small team where ownership, initiative, and communication matter • Demonstrable experience using AI tools in real engineering work, such as Cursor, Claude, ChatGPT, Copilot, or similar • Ability to teach, coach, and influence others toward AI-first ways of working • Experience building machine-learning pipelines for enterprise-class software solutions • Ability to clearly articulate a personal journey into Data Engineering and AI-first development, with real examples of AI improving delivery • Ability to explain AI tools used, validation and review of AI-generated outputs, AI limitations, and risk management • Experience in regulated, privacy-sensitive, or healthcare-related data environments would be helpful • Experience with Snowflake Cloud, dbt, Airbyte, Airflow, Python, Terraform, Kubernetes, Helm, Azure Cloud, Kafka, Debezium, GitLab, prompt engineering, vector databases, LangChain/LangGraph, and Matillion • Candidates must have authorization to work in Canada

🏖️ Benefits

• Recurring hybrid work allowance • Compensation that recognizes your contribution • 4 to 6 weeks of paid vacation per year • 5 paid personal days per year • Group RRSP / DPSP plan with employer contribution • Complete group insurance plan from day 1 • Annual wellness allowance • Access to the Lumino Health™ telehealth application • Flexible work hours • Option of teleworking up to the maximum flexibility permitted by the nature of the position and smooth running of operations