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Senior Data Engineer Jobs in Markham, ON (NOW HIRING)

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 ...

The Opportunity ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This ...

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 Level: MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering ...

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing global operational demands, maintaining high data quality, and integrating diverse data sources. Navigate ...

The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets. This role goes ...

Senior Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First ... Experience interacting with senior leaders * Experience working in highly regulated industries ...

Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data * Document data models, lineage ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$125K - CA$140K/yr

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics ...

Citi is looking for a Senior Data Engineer at Vice President level to design and lead high-performance data warehouse solutions that power critical business decisions across a global financial ...

Showing results 21-40

Senior Data Engineer information

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Markham, ON?

The most popular types of Data Engineer jobs in Markham, ON are:

What job categories do people searching Senior Data Engineer jobs in Markham, ON look for?

The top searched job categories for Senior Data Engineer jobs in Markham, ON are:

What cities near Markham, ON are hiring for Senior Data Engineer jobs?

Cities near Markham, ON with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in Markham, ON as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 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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