Job Title

Toast is recruiting on behalf of this company for a Senior Data Engineer based in Calgary, Alberta. This hybrid role offers the opportunity to join a mission-driven team building technology to transform workforce travel for the better. The company is a growing digital platform reimagining crew travel management through data-driven, scalable solutions. As a Senior Data Engineer, youll play a central role in shaping a modern, cloud-native data ecosystem that supports innovation, real-time decision-making, and self-serve access across internal and external teams. The ideal candidate is passionate about clean architecture, performance optimization, and building data as a product. Responsibilities Design and develop a scalable, microservices-aligned data platform in a cloud-native environment Build both real-time and batch data pipelines to power analytics and decision support tools Implement diverse storage strategies using SQL, NoSQL, and hybrid models Data as a Product Develop secure, well-documented data APIs to enable self-service access Partner with product and business teams to design high-value data products Ensure data lineage, quality, and governance across pipelines and storage systems Microservices Integration & Performance Build event-driven systems using tools like Kafka, Azure Event Hub, or Service Bus Design efficient ETL/ELT processes for scalable data ingestion and transformation Optimize data infrastructure for performance, including indexing and caching Governance, Security & Compliance Apply privacy, security, and compliance standards across all data initiatives Implement monitoring and observability to maintain robust data operations Integrate with DevSecOps teams to embed security into development workflows Requirements Must-Haves 5+ years in data engineering, ideally with experience in Data Mesh or data product strategies Proficiency in building and managing data pipelines across various architectures Expertise in modern storage and processing: SQL, NoSQL (e.g., Cosmos DB, PostgreSQL), Azure Data Lake, Delta Lake, Apache Iceberg Strong knowledge of ETL tools like Kafka, Airflow, Flink, Spark, Azure Data Factory, Databricks Experience with event-driven architectures and containerized environments (e.g., Azure Service Bus, AWS ECS) Familiarity with modern data platforms such as Azure Fabric, Databricks, Snowflake, Apache Hudi Advanced API development using GraphQL, REST, or gRPC Strong programming skills in Go, Java, and/or Python Understanding of data governance tools (e.g., Microsoft Purview, Apache Ranger, OpenLineage) Experience with Infrastructure as Code using Bicep, Terraform, or CloudFormation Nice to Have Exposure to ML and AI workflows using Azure Machine Learning or Databricks ML Familiarity with Jupyter, Synapse, or Databricks notebooks Knowledge of real-time streaming architectures Experience with federated data governance or self-serve data platforms Understanding of data monetization or analytics strategies Benefits Building a diverse and inclusive team, supporting career growth and development Competitive base salaries Share Appreciation Rights program for salaried employees Paid vacation days and sick days An employee charitable donation program Hotel and travel discounts Comprehensive benefits package including extended health, vision, dental, Health Spending Account, TeleDoc, Employee Assistance Program, Life, Long-term Disability, AD&D, and Critical Illness Insurance Located in beautiful Eau Claire in downtown Calgary, within a 5-minute walk to Princes Island Park #J-18808-Ljbffr