Back to jobs

Senior Data Engineer, NimbleRx

Hybrid (Toronto, ON, CA)

Live, first seen by us 28 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Listed location: Hybrid (Toronto, ON, CA)
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full 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

From 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 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

What you’ll bring

All qualifications

Core experience

  • 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
Qualification wording
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
Apply at Swoop

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 7, 202628 days ago
Recorded sightings
24
Last seen by us
Nov 4, 2026
Employer says posted
Oct 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 28

Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Swoop is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Java
  • Python
  • SQL
  • Iceberg
  • S3
  • Spark
  • Terraform
  • Trino
  • PySpark
  • PostgreSQL
Where the posting names them
- 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

Your next step

Complete your application on ats.rippling.com. The employer’s form will show what is required.

Applying through Rippling

  • “The résumé will be parsed to fill in the application details”: check what it filled before you send.

Already applied? Track this application

Has Swoop posted this job before?

Yes. We’ve followed one other Senior Data Engineer, NimbleRx job there since September 2026. It is still up.

  1. Place not statedStill up after 36 days, first seen Sep 29
  2. This jobUp 29 days so far, first seen Oct 7

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.


What you'll do

  • 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.


Qualifications

  • 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.)


About you:

  • You take ownership of the platform’s reliability, cost, accessibility, and compliance — not just the tickets you happened to ship.
  • You think about security and PII/PHI handling as core engineering work, not as someone else’s problem.
  • You’re a force multiplier: the docs, tools, and skills you leave behind make other engineers and analysts faster long after the original ticket closes.
  • You have a bias for shipping iteratively and instrumenting what you ship — you’d rather demo a rough v1 in two days than a polished v3 in two weeks.
  • You take pride in your work and have good judgment about what to prioritize when everything feels urgent.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Hybrid (Toronto, ON, CA)

Working pattern and location restrictions need checking in the full posting.

Work authorization
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

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.