Job DescriptionPosted Friday, April 17, 2026 at 7:00 AMAs a Data Engineer at Redlen, you will be supporting the design, development and maintenance of scalable data warehouse solutions that support enterprise‑wide analytics and reporting. This role supports data integrity, optimal performance, and collaborates with cross‑functional teams to implement business needs into actionable insights. You will work closely with IT and business intelligence teams to ensure the accuracy, availability, and accessibility of data.Key ResponsibilitiesContribute to and support the design, build, and maintenance of efficient and reliable ETL/ELT processes.Optimize and fine‑tune ETL/ELT processes for improved performance and reliability.Data Modeling and WarehousingContribute to the development and maintenance of scalable data models and schemas.Ensure data quality and integrity in the data warehouse.Implement robust data warehouse solutions, optimized for performance, scalability and usability.Data Visualization and ReportingCreate and maintain dashboards and reports for business users.Translate business requirements into technical specifications for data visualization.Use data visualization tools to present data in a way that is easy to understand and actionable.Governance and SecurityAdhere to data governance policies and compliance with data privacy regulations.Monitor data access controls and security protocols and elevate requests when required.Monitor and test disaster recovery and backup plans.Collaboration and SupportCollaborate with IT and business teams to understand data needs.Provide technical support and training to end‑users on data visualization tools.Keep abreast of industry trends and advancements in data warehousing and visualization technologies.Experience and QualificationsBA or MA in Computer Science, Information Technology,



or related field.A minimum of 2 years of experience in data warehousing, data engineering, analytics engineering, or business intelligence.Solid knowledge of Python and SQL and experience with relational databases.Experience with ETL/ELT tools (e.G., dbt, Airflow, Dagster).Proficiency in data visualization tools (e.G., Tableau, Power BI).Strong technical competency in data modeling and data warehousing concepts.Excellent analytical and problem‑solving skills.Knowledge of software engineering best practices including coding standards, code reviews, continuous deployments, and testing.Experience with version control (Git).Preferred QualificationsExperience with cloud data warehousing solutions (e.G., Azure, Snowflake, Databricks).Familiarity with JMP and/or Python for data processing.Experience in a manufacturing data environment.Familiarity with modern data lakehouse architectures (e.G., Apache Iceberg, Delta Lake, Apache Hudi).Experience with big data processing frameworks (e.G., Apache Spark, Dask).Skills and CompetenciesHighly cutting-edge and collaborative, thriving in a team environment.Excellent oral and written communication skills.Strong project and time management abilities.Outstanding interpersonal skills with the ability to work independently.Demonstrated positive attitude, self‑motivation, and commitment to continuous improvement.Salary Range$82,000 - 102,000 CADTotal Rewards and BenefitsCompetitive salary and performance‑based bonuses.Comprehensive health, dental, and vision insurance.RRSP retirement plan with employer match component.Generous paid time off and holidays.Vibrant and inclusive workplace culture.As an equal opportunity employer, we demonstrate that diversity drives innovation and are passionate about building a future where every employee contributes to our mission‑driven success.#J-18808-Ljbffr

📌 Data Engineer - C$82,000 - C$102,000 A Year (Winnipeg)
🏢 Redlen
📍 Winnipeg