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 Solid 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.

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📌 Data Engineer (Winnipeg)
🏢 KUBRA
📍 Winnipeg