Senior Data Engineer - Data Performance and Tooling

About the role

ABOUT THE ROLE

Hi, I'm Cheng https://www.linkedin.com/in/chengyijiang/ 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. I've been at Jane for six years and one month, it has been exciting watching Jane grow from a start up to what it is now, and for most of that time our work was about getting foundational systems right. 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.

WHAT IMPACT WE'RE LOOKING FOR YOU TO MAKE

- 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.

WHAT EXPERIENCE WE NEED

- 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.

- Track record of owning infrastructure end-to-end - you've designed systems, deployed them to production, operated them, and iterated based on feedback from teams using them.