Senior Data Engineer - Data Infra

Accountabilities: Design, build, operate, and scale reliable data ingestion pipelines and connectors using technologies such as Fivetran, dbt, and BigQuery. Develop and maintain data pipelines that bring information from diverse source systems into the central data warehouse. Own and evolve core data-platform components, including dbt models, semantic layers, orchestration, data quality, and observability. Build trusted, governed, and self-service data products that support business intelligence, analytics applications, and downstream teams. Partner closely with Finance, Go-to-Market, Manufacturing, ML, and other stakeholders to understand requirements and translate them into effective data solutions. Help establish data infrastructure that supports AI and agent-based workflows, including governed data access, LLM- and agent-compatible semantic layers, and appropriate scalability and safety controls. Contribute to the development and improvement of data engineering processes, standards, and practices in an evolving environment. Troubleshoot data-platform issues hands-on, investigate root causes, and implement durable solutions. Help drive alignment and informed decision-making around data architecture, tooling, and platform evolution. Establish scalable approaches for operating data infrastructure as organizational needs and data volumes grow. Requirements 5+ years of professional experience in data engineering, data platforms, analytics engineering, or another SQL-intensive data role; experience in high-growth startup environments is strongly preferred. Proven experience building and operating production-grade ingestion pipelines, connectors, and transformation workflows using dbt or equivalent technologies. Expert-level SQL skills and strong working proficiency in Python or a comparable programming language for automation and platform tooling. Hands-on experience with Looker, Hex, dbt, or comparable BI and analytics technologies, with the ability to evaluate how these tools fit within a broader data platform. Demonstrated ability to work cross-functionally, gather requirements, communicate technical concepts, and build consensus around data-platform decisions. Experience establishing new data engineering processes and solutions in environments characterized by ambiguity and rapid change. Strong troubleshooting, analytical, and problem-solving abilities, combined with intellectual curiosity and a willingness to work hands-on. Strong communication and collaboration skills, with the ability to partner effectively with both technical and non-technical stakeholders. Experience working with healthcare or other regulated, compliance-intensive environments is a plus. Exposure to infrastructure supporting machine learning, AI, LLM-powered products, or agent-based workflows is an advantage. Experience designing pipelines and data controls for PHI, PII, or other sensitive information is a plus. Benefits Remote work opportunity within Canada. CA$133,600–CA$167,000 compensation range, with actual compensation dependent on factors such as location, skills, qualifications, and experience. Equity participation and bonus opportunities. Comprehensive benefits tailored to the employee’s country of residence. Healthcare and dental coverage. Mental health support and wellbeing resources. Parental planning and family support resources. Retirement savings options. Generous paid time off. Inclusive workplace focused on diversity, accessibility, and equal opportunity. Support for reasonable accommodations throughout the interview and employment process.