Senior Data Engineer - Platform Lead (Hybrid)

Rippling, Inc.; Toronto; Hybrid; CAD 195,000 - 228,000; Full time

Job summary

Swoop is seeking a Senior Data Engineer to own NimbleRx's data platform, scaling data infrastructure across product, analytics, and ops. You’ll design and ship reliable pipelines and help ensure compliance and security.

You will mentor engineers, collaborate across teams, and apply AI tools to accelerate data workflows in a hybrid Toronto environment. This is a high-impact role at a patient-first healthcare marketing leader.

Qualifications

• 5+ years 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.)

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 - read-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.

Skills

PySpark

SQL

Java/Spring Boot

Kinesis

Iceberg/Trino

Postgres

CI/CD

Terraform

AI tooling

Cross-team collaboration

Tools

Spark/EMR

PostgreSQL

Iceberg

Trino

CI/CD

Terraform

S3

Python

Job description

Swoop is seeking a Senior Data Engineer to own NimbleRx's data platform, scaling data infrastructure across product, analytics, and ops. You’ll design and ship reliable pipelines and help ensure compliance and security.

You will mentor engineers, collaborate across teams, and apply AI tools to accelerate data workflows in a hybrid Toronto environment. This is a high-impact role at a patient-first healthcare marketing leader.