Senior Data Engineer – Data Performance, Tooling

Jane.app

. Deploy robust, production-grade data infrastructure that scales with Jane's growth .

Posted 9/18/2026full-timeRemote • CanadaSenior💰 CA$121,600 - CA$190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying and maintaining production-grade data infrastructure, with a strong focus on data lake architecture, security controls, and performance optimization. Proficient in collaborating with cross-functional teams to translate technical requirements and iterate on systems based on real-world usage.

Highest-signal resume keywords

Production Data InfrastructureSQL and Data Warehouse FundamentalsAWS Services and Infrastructure-as-CodeApache Iceberg and SnowflakeDatabase Replication and Change Data Capture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ETL/ELT PatternsSchema DesignQuery OptimizationPerformance TroubleshootingInfrastructure End-to-End OwnershipHigh-Performance Streaming ApplicationsSecurity Controls ImplementationData Pipeline ManagementKafkaFlink

Soft Skills

Communication with StakeholdersCollaboration with Teams

Tools & Technologies

Amazon MSKAWS GlueTerraformDebeziumSpark

Industry Keywords

SaaSData LakeData WarehouseClinic-Management

Tech Stack

Tools & technologies

ApacheAWSETLKafkaRubyRuby on RailsSparkSQLTerraform

About the role

Key responsibilities & impact

Deploy robust, production-grade data infrastructure that scales with Jane's growth
Balance innovation with operational stability and make clear trade-offs between speed and reliability
Contribute to the architecture, implementation, and maintenance of a secure, centralized data lake
Design and build high-performance streaming applications
Help design and implement security controls for Jane's data lake
Own infrastructure projects from design through production, including documentation, operational runbooks, and knowledge transfer
Partner with analytics and product teams to understand needs and translate them into technical requirements
Iterate based on real-world usage
Use AI to accelerate documentation, research, boilerplate work, and knowledge synthesis
Work with infrastructure that powers data pipelines, data availability, analytics, and reporting for clinic-management SaaS products

Requirements

What you’ll need

5+ years working with production data infrastructure
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 with modern data lake and data warehouse technologies, particularly Apache Iceberg and Snowflake
Experience implementing database replication and change data capture pipelines using Kafka, Debezium, Flink, or Spark
Track record of owning infrastructure end-to-end, including designing, deploying, operating, and iterating systems
Comfort communicating technical decisions to engineering and non-technical stakeholders
Experience with Ruby on Rails monolithic applications is nice to have
Must currently live and work in Canada
Must be eligible to work in Canada without employer sponsorship
No relocation, visa sponsorship, or third-party/employer-of-record employment support

Benefits

Comp & perks

Equity through the JSOP (Jane Stock Option Plan)
Regular career development conversations with your manager
Comprehensive benefits package (Canadian Benefits)
Remote-first work environment
AI tools, support, and space to explore, learn, and share discoveries
Global team collaboration across Canada, the US, and the UK