About the role

Senior Data Engineer managing Nimble's data platform for effective data access and compliance in healthcare. Collaborating across teams to streamline pharmacy operations and enhance data workflows.

Responsibilities

Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company's data needs grow
Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake
Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data
Partner with product, engineering, analytics, and operations stakeholders across the company to turn data requests into well-scoped, reliable pipelines — and write the docs and tooling that let them self-serve next time
Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows
Optimize backend query performance where the data layer meets product code — reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services
Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable
Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations — and ship internal AI tooling that lets other teams do the same
Mentor engineers and analysts across the company on how to work with the data platform

5+ years of experience building production data pipelines and platforms
Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
The skills and willingness to work on the services around the data layer (Java, Spring Boot)
Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
Solid Postgres fundamentals — query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck
Experience with Iceberg and Trino, or similar
Comfort with CI/CD and Terraform
Already building with AI — frontier models, agentic coding tools, or something you hacked together last weekend
Track record of working across teams that don't speak your language (product, ops, etc.)

Medical / Dental / Vision
Generous Vacation Policy - 15 days of paid vacation in the first year, then increases to 20 days after one year
11 Paid Holidays
Work with a collaborative team out of our office at WaterPark Place, in the Harbourfront area just south of Union Station