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After Query Jobs in Toronto, ON (NOW HIRING)

NimbleRx

Senior Data Engineer

Toronto, ON · On-site

After becoming an independent company in 2024, Swoop experienced significant growth and ... Optimize backend query performance where the data layer meets product code - reader-replica routing ...

Ci

Server Application Analyst

Toronto, ON

CA$69K - CA$119K/yr

Be available for after hours issues that may arise or weekend server smoke testing after patches ... Experience with databases SQL query and Network troubleshooting. * Experience with SFTP / File ...

CMiC

PL/SQL Developer

Toronto, ON · On-site

CA$70K - CA$115K/yr

Query optimization and execution plan analysis * Data modeling (normalized/denormalized schemas ... RRSP Matching Program after 2 years of employment * Experience in a rapidly growing, socially ...

CMiC

PL/SQL Developer

Toronto, ON

CA$70K - CA$115K/yr

Query optimization and execution plan analysis * Data modeling (normalized/denormalized schemas ... RRSP Matching Program after 2 years of employment * Experience in a rapidly growing, socially ...

Gordon Food Service

Profit Analyst

Ajax, ON · On-site

Medical, Dental, Prescription Drug, and EFAP Benefits after 30 days of employment * FULL flex ... Proficiency in Big Query preferred We thank all applicants for their interest, however only those ...

Genesys

Lead Test Engineer

Toronto, ON

After learning our product and process, you will contribute code to a shared automated testing ... DynamoDB, Elasticsearch, Presto, and S3 for query and storage. About Genesys: Every year, Genesys ...

Royal Bank of Canada

Staff AI Engineer

Toronto, ON

Evaluation runs both before we ship and after; this role owns the runtime side - judging agents ... query at scale. * Distributed tracing and Open Telemetry: semantic conventions, collector ...

All JobsAfter Query JobsAfter Query Jobs in Toronto, ON

After Query information

What is the difference between After Query vs Data Analyst?

AspectAfter QueryData Analyst
Required CredentialsTypically requires a basic understanding of database querying, often with certifications like SQL certificationRequires strong analytical skills, proficiency in SQL, Excel, and data visualization tools, often with a degree in data science, statistics, or related fields
Work EnvironmentPrimarily works in database environments, often within IT or database teamsWorks across departments, analyzing data to support business decisions in various industries
Employer & Industry UsageUsed mainly in IT, database management, and software companiesCommon in finance, marketing, healthcare, and consulting firms

While both roles involve working with data, After Query focuses on executing database queries to retrieve information, whereas Data Analysts interpret and analyze data to provide insights for decision-making.

What are the key skills and qualifications needed to thrive as an After Query, and why are they important?

I'm sorry, but 'After Query' does not appear to be a recognized professional job title. Please provide a valid job title.

How does AfterQuery work?

AfterQuery is a process used in data analysis and search systems to refine or filter results after an initial query. It often involves applying additional criteria or transformations to improve accuracy or relevance, typically using tools like SQL, scripting, or specialized software. This step helps ensure the final output meets specific requirements or standards.

What are some common challenges faced by professionals in After Query roles, and how can they be addressed?

In After Query roles, professionals often encounter challenges such as managing high volumes of post-query follow-ups, ensuring timely and accurate responses, and maintaining clear communication between departments. Balancing multiple requests while adhering to company policies requires strong organizational skills and attention to detail. Building effective workflows and leveraging customer relationship management (CRM) tools can help streamline processes and enhance collaboration with team members, ultimately improving the customer experience.

What are After Query jobs?

After Query jobs typically refer to roles that involve analyzing, interpreting, and acting upon data results obtained after running database queries. These positions are common in data analytics, business intelligence, and IT, where professionals review query outputs to generate reports, provide insights, or inform business decisions. The job may include tasks such as validating data, ensuring query accuracy, and collaborating with stakeholders to communicate findings. Strong analytical skills and proficiency with SQL or other query languages are often required. These roles are vital for organizations that rely on data-driven decision-making.

Which 3 jobs will survive AI?

Jobs in healthcare, such as nurses and physicians, are likely to persist due to the need for human judgment and empathy. Skilled trades like electricians and plumbers will also remain in demand because they require physical work and problem-solving skills that are difficult for AI to replicate. Additionally, roles in education and mental health, including teachers and therapists, will continue to be essential for human interaction and personalized support.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, cloud computing, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership roles or equity compensation.
What are popular job titles related to After Query jobs in Toronto, ON? For After Query jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching After Query jobs in Toronto, ON look for? The top searched job categories for After Query jobs in Toronto, ON are:
After Query jobs near you
Infographic showing various After Query job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

NimbleRx

Toronto, ON • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

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.

*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.
 
As a Senior Data Engineer, you will own Nimble'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.
 
Open to Senior or Lead. What matters is what you could build, not your current title.
You will:
  • 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
What you bring:
  • 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 on what to prioritize when everything feels urgent
What's in it for you:
  • Compassionate and driven colleagues in a fun environment where success is celebrated
  • Accelerated career growth in a fast-growing company
  • Coaching from experienced engineering leaders
  • Direct access to executives and a transparent company culture
  • Rare opportunity to change an industry and lives of millions
  • We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do
  • Medical / Dental / Vision
  • Flexible Vacation Time Policy 
  • 12 Paid Holidays
  • Work with a collaborative team out of our office at WaterPark Place, in the Harbourfront area just south of Union Station
$195,000 - $228,000 a year
At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey!
 
Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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