Developer - Data and Analytics Engineer

Your Opportunity:

Reporting to the Manager, Strategic Analytics, the Data and Analytics Engineer plays a key role in advancing data-driven decision making across the organization. This position is responsible for building and maintaining modern, cloud-based data infrastructure that supports high quality reporting, analytics, and clinical insights. Are you excited by the challenge of turning complex data into meaningful insights? Do you enjoy building scalable data solutions that enable better decisions and improve outcomes? In this role, you will design and develop data pipelines, curated data models, and analytical data structures that make data accessible, reliable, and impactful. This is an exciting opportunity for someone who is passionate about data engineering, enjoys solving complex problems, and wants to make a meaningful impact in a healthcare environment. You will contribute to a growing analytics ecosystem and help shape how data is leveraged to improve outcomes and inform decision making. This position requires the ability to work independently and collaboratively within a team committed to advancing data and analytics and strengthening a data driven culture. Success in this role requires strong technical expertise, critical thinking, and the ability to manage multiple priorities in a dynamic environment. Experience working with complex datasets, relational databases, data linkage, metadata, data quality, data literacy, and scripting languages is essential. If you are motivated to influence meaningful change, this is an opportunity to have a measurable impact.

Description:

As a Data and Analytics Engineer, you will design, build, and optimize data systems that support analytics, reporting, and decision making. You will develop and maintain scalable data pipelines that ingest, transform, and deliver structured and unstructured data. Using SQL and Python, you will create reliable data solutions and build foundational data structures such as tables, views, and schemas, while supporting modern development practices including automated testing, deployment, and version control. You will work with cloud-based data platforms, including Snowflake or similar technologies, to deliver efficient and scalable data solutions. This includes optimizing performance, managing schema architecture, and ensuring consistency across environments. A key focus will be ensuring data quality and reliability through validation frameworks, monitoring, and operational controls to maintain accurate, timely, and trusted data. The role requires a strong focus on data governance, privacy, and compliance. You will ensure data is handled securely while meeting Alberta’s legislative requirements, including the Protection of Privacy Act and the Health Information Act. Collaboration is central to this role. You will partner with analysts, data scientists, and stakeholders to translate requirements into scalable data solutions and design analytical models for reporting and advanced analytics. You will also support and troubleshoot analytics solutions, provide user guidance, and maintain clear documentation. This role combines technical expertise with strong communication skills to enable effective, data informed decision making. This position is non-unionized.