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Hybrid (Toronto, ON, CA)
Live, first seen by us 28 days agoListed location: Hybrid (Toronto, ON, CA)Read the full posting
Employment type in the employer’s posting: SALARIED_FTFrom the employer’s posting
As a Senior Data Engineer, you will own NimbleRx’s data platform — the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations.
The role lives at the intersection of production engineering and data engineering, and the test of your work is whether other teams move faster because of it.
Own the data platform end-to-end, from ingestion to access, and drive its roadmap
Build batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda and Step Functions
Model warehouse tables (SCD, event) and the conventions others follow
Own audit logging, access control and temporary-access workflows
Optimize backend query performance across Postgres and Java/Spring services
As a Senior Data Engineer, you will own NimbleRx’s data platform — the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The work scales beyond you: what you build once accelerates product, analytics, ops, and data science for years.
The role lives at the intersection of production engineering and data engineering, and the test of your work is whether other teams move faster because of it. This is an opportunity to be rewarded for hard technical work on a problem that genuinely matters.
Own the data platform end-to-end — ingestion, transformation, storage, query, and access
Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions
Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data.
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
5+ years of experience building production data pipelines and platforms
Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
Experience with Iceberg and Trino, or similar
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 28
Similar jobs usually come down between day 6 and day 54.
From 10,782 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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)
- 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)
- 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
- 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
- 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.
- 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
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Yes. We’ve followed one other Senior Data Engineer, NimbleRx job there since September 2026. It is still up.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At Swoop, our mission is simple: Improving patient outcomes. As a market leader in AI-driven, data-powered, and privacy-compliant healthcare engagement, we connect the signals that drive earlier diagnosis, better treatment decisions, and sustained adherence.
Our integrated, privacy-safe platform, enables life sciences companies to drive measurable patient and commercial outcomes with actionable intelligence — spanning patient and HCP audience targeting, community engagement, AI-powered web solutions, coordinated omnichannel activation, and prescription fulfillment.
We believe our people are our greatest asset. Swoop fosters a culture of innovation and continuous learning, providing employees with rich opportunities for professional growth. This commitment to our team earned us the "Best Places to Work" recognition from Business Intelligence Group in 2025 and 2026. We are driven by a patient-first philosophy and passionate about leveraging technology to create a healthier future.
After becoming an independent company in 2024, Swoop experienced significant growth and demonstrated an unwavering commitment to innovation, talent development, and enhancing the patient experience. Our acquisition of MyHealthTeam in January 2025 and Nimble in May 2026 helped us further bridging the gap between healthcare brands and patients for more impactful and targeted engagement. Empowering millions of patients nationwide to connect, share resources, and access medically verified information to better manage their health. MyHealthTeam hosts the largest and most engaged patient social networks in healthcare, offering more than 70 condition-specific communities for chronic and rare conditions. As a prescription fulfillment and patient engagement platform, Nimble empowers independent and regional pharmacies to deliver a modern, consumer-friendly healthcare experience while streamlining pharmacy operations.
If you're a driven professional seeking to make a real difference in healthcare marketing at a fast-growing, innovative company, join Swoop and help us revolutionize how brands connect with patients and HCPs.
About the role
As a Senior Data Engineer, you will own NimbleRx’s data platform — the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The work scales beyond you: what you build once accelerates product, analytics, ops, and data science for years.
The role lives at the intersection of production engineering and data engineering, and the test of your work is whether other teams move faster because of it. This is an opportunity to be rewarded for hard technical work on a problem that genuinely matters.
Our engineering culture: We operate with shared trust and no egos. We enjoy being “in this together” and collaborating on the challenges of a rapidly scaling business. We live out our company values of curiosity, ownership, simplicity, and a get-it-done mentality.
We’re open to Senior or Lead candidates. What matters is what you could build, not your current title.
*Current Canadian work authorization is strongly preferred. Visa sponsorship may be considered on an exceptional basis for highly qualified candidates who possess specialized skills critical to this role.
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Hybrid (Toronto, ON, CA)
Working pattern and location restrictions need checking in the full posting.
We’re open to Senior or Lead candidates. What matters is what you could build, not your current title. *Current Canadian work authorization is strongly preferred. Visa sponsorship may be considered on an exceptional basis for highly qualified candidates who possess specialized skills critical to this role. What you'll do