Senior Data Engineer: Scalable Data Platform & Tooling

Jane Software Inc.; Canada; Hybrid; CAD 122,000 - 190,000; Full time

Benefits offered by this job

Equity through JSOP stock options

Benefits package

Job summary

Jane Software Inc. is seeking a senior data infrastructure engineer to own end-to-end data infrastructure, partnering with analytics and product teams to enable data-driven decision making.

You will deploy production-grade data infrastructure, design secure data lake, and build streaming applications, while maintaining documentation and runbooks.

Collaborate across teams, communicate clearly, and leverage AI to speed up routine work while delivering high-impact results.

Qualifications

• 5+ years working with production data infrastructure.
• Strong SQL and data warehouse fundamentals (ETL/ELT, schema design, query optimization).
• Hands-on with AWS services and IaC tools (MSK, Glue, Terraform).
• Experience with modern data lake/warehouse tech (Iceberg, Snowflake).
• Experience building replication/change data capture pipelines (Kafka, Debezium, Flink or Spark).
• Proven track record owning infra end-to-end (design, production, operations, iteration).
• Ability to communicate complex tech decisions to technical and non-technical stakeholders.
• Nice to have: Ruby on Rails monolithic apps.

Responsibilities

• Design and deploy robust, scalable data infrastructure.
• Architect and maintain a centralized data lake with security controls.
• Build high-performance streaming applications.
• Own end-to-end infrastructure projects with docs and runbooks.
• Collaborate with analytics and product teams to translate needs into specs.
• Leverage AI to accelerate routine infrastructure work.

Skills

SQL proficiency

Data warehouse fundamentals

Streaming architectures

Cloud computing

Documentation

Tools

Amazon MSK

AWS Glue

Terraform

Kafka

Debezium

Flink

Spark

Apache Iceberg

Snowflake

Job description

Jane Software Inc. is seeking a senior data infrastructure engineer to own end-to-end data infrastructure, partnering with analytics and product teams to enable data-driven decision making.

You will deploy production-grade data infrastructure, design secure data lake, and build streaming applications, while maintaining documentation and runbooks.

Collaborate across teams, communicate clearly, and leverage AI to speed up routine work while delivering high-impact results.