Data Engineer

KUBRA; Mississauga; On-site; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Annual performance-based bonuses

Generous benefit coverage with lowprem

RRSP matching

Paid vacation and sick days

Birthday day off

LinkedIn Learning access

Education reimbursement

Employee recognition programs

Headspace membership

Beverage stations

Perkopolis discounts

Volunteer days

Job summary

KUBRA is seeking a data engineering professional to design, build, and maintain scalable cloud-based data pipelines for BI and reporting. You will develop data infrastructure across SQL Server, AWS, and cloud platforms, and optimize pipelines with PySpark, Databricks, SQL, and cloud services.

You’ll collaborate with BI analysts and cross-functional teams to deliver analytics-ready data models, universal data flows, and robust reporting capabilities across North America.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
• 3–5 years of cloud data engineering experience on a major cloud platform, preferably AWS
• Hands-on experience building data pipelines in cloud environments
• Demonstrable experience with PySpark
• Hands-on experience with Databricks
• Strong proficiency in SQL and experience working with SQL Server or similar relational databases
• Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
• Experience designing data models that support analytics, reporting, and business intelligence use cases
• Familiarity with BI tools and reporting environments such as Power BI or Tableau
• Experience maintaining, troubleshooting, and optimizing ETL/data pipeline processes
• Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is an asset
• Experience documenting technical processes, data infrastructure, and pipeline logic
• Ability to participate in occasional client-facing design sessions, presentations, or training as needed

Responsibilities

• Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
• Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
• Build, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud data services
• Design and implement data models optimized for analytics, warehousing, and reporting use cases
• Partner with BI Analysts to manage client reporting requirements and support data-driven insights
• Automate manual data processes to improve efficiency, consistency, and data quality
• Maintain and improve existing data infrastructure, pipelines, and reporting data flows
• Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
• Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
• Share technical knowledge with coworkers and contribute to continuous improvement of data systems and processes
• Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming data tools
• Participate in client-facing sessions when needed, including design discussions, technical presentations, and training

Skills

PySpark

Databricks

SQL

SQL Server

Data modeling

Data warehousing

BI reporting

Cloud data engineering

Kafka

Kinesis

ETL pipelines

AWS

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field

Tools

AWS

SQL Server

Databricks

Power BI

Tableau

Kafka

Kinesis

Job description

How You’ll Contribute

• Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
• Develop and maintain data infrastructure across SQL Server , AWS , and cloud-based data platforms
• Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data services
• Design and implement data models optimized for analytics, warehousing, and reporting use cases
• Partner with BI Analysts to manage client reporting requirements and support data-driven insights
• Automate manual data processes to improve efficiency, consistency, and data quality
• Maintain and improve existing data infrastructure, pipelines, and reporting data flows
• Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
• Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
• Share technical knowledge with coworkers and contribute to continuous improvement of data systems and processes
• Stay current with modern data engineering technologies, including Databricks , PySpark , cloud platforms, data modeling, and streaming data tools
• Participate in client-facing sessions when needed, including design discussions, technical presentations, and training

Strengths That Shine in This Role

• Strong problem-solving mindset with a focus on data quality, reliability, and continuous improvement
• Ability to translate BI and reporting requirements into scalable technical data solutions
• Strong communication skills and professionalism when working with internal teams and clients
• Collaborative approach with the ability to build relationships across technical and non-technical teams
• Ability to influence others, manage conflicts, and support productive technical discussions
• Proactive and self-driven, with the ability to work independently in a results-focused environment
• Strong organization and time management skills, especially when balancing multiple priorities
• Comfortable troubleshooting issues, handling pressure, and supporting business-critical reporting needs
• Willingness to share knowledge, document work clearly, and contribute to a cohesive team environment

Skills That Matter in This Role

• Bachelor’s or Master’s degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
• 3–5 years of cloud data engineering experience on a major cloud platform, preferably AWS
• Hands-on experience building data pipelines in cloud environments
• Demonstrable experience with PySpark
• Hands-on experience with Databricks
• Strong proficiency in SQL and experience working with SQL Server or similar relational databases
• Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
• Experience designing data models that support analytics, reporting, and business intelligence use cases
• Familiarity with BI tools and reporting environments such as Power BI or Tableau
• Experience maintaining, troubleshooting, and optimizing ETL/data pipeline processes
• Experience with streaming data tools such as Kafka , Kinesis , or similar technologies is an asset
• Experience documenting technical processes, data infrastructure, and pipeline logic
• Ability to participate in occasional client-facing design sessions, presentations, or training as needed

Why You’ll Love Working Here

• Thrive in an award-winning culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards
• Earn annual performance-based bonuses recognizing your contributions
• Enjoy generous benefit coverage with low premiums , plus a Healthcare Spending Account and Wellness Spending Account
• Invest in your future with RRSP matching
• Take time to recharge with paid vacation and sick days , and enjoy a paid day off for your birthday
• Make a difference with two paid volunteer days to support causes you care about
• Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
• Feel appreciated through our employee recognition programs
• Support your mental health with a free premium Headspace membership
• Stay refreshed with unlimited access to fully stocked beverage stations
• Save more with exclusive Perkopolis retail discounts

Salary: $100,000 - $130,000 a year

While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!

KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.

Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program.

KUBRA does not typically provide immigration-related assistance, including employment-based work visa sponsorship, work permit applications and extensions, permanent residence sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.