Hi, I'm Cheng from the Data Performance and Tooling Team at Jane. I lead the foundational infrastructure that powers data across Jane. We ship pipelines, data availability, analytics and reporting infrastructure
- the building blocks other teams depend on to do their work. Now we're at an inflection point where we're thinking bigger about data strategy, governance at scale, and how to enable the whole company through better access and insights. This role is about unblocking delivery on two major projects and helping us think more strategically about what we're building. You'll own end-to-end data infrastructure work, partner closely with teams consuming our output (analytics, product, platform), and shape how Jane makes decisions with data as we grow. Deploy robust, production-grade data infrastructure that scales with Jane's growth, balancing innovation with operational stability and clear trade-offs between speed and reliability. Contribute to the architecture, implementation, and ongoing maintenance of a secure, centralized data lake. Design and build high-performance streaming applications. Help design and implement best-in-class security controls for Jane's data lake. Own the full lifecycle of infrastructure projects from design through production, including documentation, operational runbooks, and knowledge transfer to other engineers and teams. Partner cross-functionally to understand what the analytics and product teams need, translate those needs into technical requirements, and iterate based on real-world usage. Actively use AI as a tool to accelerate mundane infrastructure work
- documentation, research, boilerplate, knowledge synthesis
- freeing you to focus on the hard technical thinking. 5+ years working with production data infrastructure,



including hands-on experience deploying and maintaining systems in a SaaS or data-heavy environment. Strong SQL and data warehouse fundamentals including ETL/ELT patterns, schema design, query optimization, and performance troubleshooting. Hands-on experience with AWS services and infrastructure-as-code tools, including Amazon MSK, AWS Glue, and Terraform. Experience working with modern data lake and data warehouse technologies, particularly Apache Iceberg and Snowflake. Experience implementing database replication and change data capture pipelines using technologies such as Kafka, Debezium, Flink, or Spark. Comfort communicating technical decisions to both engineering and non-technical stakeholders, translating complexity into clarity. Nice to have: experience working with ruby on rails monolithic applications Jane is a founder-led, high-growth SaaS company with a remote-first team working across Canada, the US, and the UK, united by our mission to help the helpers. We build the products and tools that thousands of clinics rely on every day to run their businesses, care for their patients, and grow their communities. That level of impact means every person at Jane plays an important role in how we show up for our customers. We're also embracing the possibilities of AI, using it to work smarter, improve our systems, and create even better experiences for our customers and our team. No matter your role or team, we expect every Janer to be curious, experimenting, and finding new ways to build with AI. CAD $121,600 to CAD $190,000 . Most recent hires join at the accomplished stage, which for this role represents an annual salary of CAD $144,400 . This role also includes equity through our JSOP (Jane Stock Option Plan).

📌 Senior Data Engineer (Canada)
🏢 Jane Software
📍 Canada