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

Senior Database Developer

Waterloo, ON · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Senior Database Developer

Waterloo, ON · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Perform data analysis of ATE and bench characterization results across PVT variations, including ATE-to-bench correlation studies and process capability analysis, with guidance from senior engineers

Perform data analysis of ATE and bench characterization results across PVT variations, including ATE-to-bench correlation studies and process capability analysis, with guidance from senior engineers

Perform data analysis of ATE and bench characterization results across PVT variations, including ATE-to-bench correlation studies and process capability analysis, with guidance from senior engineers

Kitchener, Ontario - Hybrid Senior Software Developer Join Sonova's Manufacturing Software team and ... Develop, maintain, and support solutions for data analysis and production Ensure the availability ...

Perform data analysis of ATE and bench characterization results across PVT variations, including ATE-to-bench correlation studies and process capability analysis, with guidance from senior engineers

Senior Process Engineer Location: Cambridge, Ontario (On-site) Type: Full Time, Permanent Shift ... Fluent in data: you drive projects and decisions through statistical analysis, not gut feel

Senior Process Engineer Location: Cambridge, Ontario (On-site) Type: Full Time, Permanent Shift ... Fluent in data: you drive projects and decisions through statistical analysis, not gut feel

Senior Process Engineer Location: Cambridge, Ontario (On-site) Type: Full Time, Permanent Shift ... Fluent in data: you drive projects and decisions through statistical analysis, not gut feel

... senior management. * Teamwork: Constant collaboration within the technical services team and cross-functionally with product team, data engineering, sales and marketing team. We help each other help ...

Senior - Automation Engineer Job Summary * The Senior Automation Engineer designs, integrates ... Analyze equipment performance data including failures, mean time between failures, downtime, and ...

Showing results 21-40

Senior Data Engineer information

See Kitchener, ON salary details

$71.8K

$128.6K

$174.5K

How much do senior data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data engineer in Kitchener, ON is $128,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,092.00 and $145,545.00 per year, depending on experience, location, and employer.

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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are the most commonly searched types of Data Engineer jobs in Kitchener, ON? The most popular types of Data Engineer jobs in Kitchener, ON are:
What are popular job titles related to Senior Data Engineer jobs in Kitchener, ON? For Senior Data Engineer jobs in Kitchener, ON, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Kitchener, ON look for? The top searched job categories for Senior Data Engineer jobs in Kitchener, ON are:
What cities near Kitchener, ON are hiring for Senior Data Engineer jobs? Cities near Kitchener, ON with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Kitchener, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $128,627 per year, or $61.8 per hour.

Senior Data Analyst, Client Acquisition Analytics

Sun Life Financial

Waterloo, ON • On-site

Full-time

Posted 19 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

89th of 304 rated insurance


Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.


Job Description:

The Growth and Performance Marketing team within Sun Life's Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program and Channel of Choice, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

To achieve this, we will be leveraging many systems across Sunlife, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients' journeys and gather insights to improve their experience.

What will you do?

  • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
  • Analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems.
  • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
  • Ongoing support to uncover opportunities that will drive incremental sales.
  • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
  • Provide support for annual business plan, monthly sales forecast, and insight analysis.
  • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance.
  • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.

What you need to succeed:

  • 5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
  • 5 + years experience with SQL, PySpark and other programming languages. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
  • 2+ years of experience with AWS Cloud Services (e.g. Glue, S3, Athena, Quick Suite)
  • 2+ years of experience working with Tableau or other visualization tools
  • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
  • Strong partnering approach with a commitment to meeting business partners' unique needs and expectations.
  • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
  • Comfortable learning new applications and processes quickly with minimal direction
  • Ability to document work.

What will be nice to have?

  • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
  • Experience in Salesforce
  • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
  • Additional statistical programming languages (i.e SAS/R)
  • Advanced user of MS Excel and MS Access

Preferred Skills:

  • Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles, with strong attention to detail.
  • Understanding business. We have got a lot of data, and you need to turn it into insights, and you can't help with that unless you understand what the numbers mean.
  • A passion for solving problems.The most successful data analysts don't just spin data and give numbers; they solve the problem.

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.
  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
  • Wellness programs that support the three pillars of your health - mental, physical, and financial
  • The opportunity to move along a variety of career paths with amazing networking potential.
  • As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office

This role requires Reliability Security Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time.

Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices.


The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.


Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.


Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.


We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.


We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.


We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.


Salary Range:

80,000/80 000 - 128,000/128 000

Job Category:

Advanced Analytics

Posting End Date:

12/08/2026

What Sun Life Assurance Company of Canada employees say

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