Base Pay RangeCA$100,000.00/yr - CA$170,000.00/yrAbout Altis LabsAltis Labs is the computational imaging company accelerating clinical trials with AI. We are on a mission to help get the most effective novel treatments to patients sooner.Top 20 biopharma sponsors like AstraZeneca, Johnson & Johnson, and Bayer Pharmaceuticals use our AI models trained on the industry's largest cancer imaging database to measure treatment effect with greater confidence. Our fully‑automated AI models predict efficacy from clinical trial imaging data so that sponsors can optimize trial design and accelerate development of their most promising drugs.Founded in 2019, Altis is a venture‑backed AI company headquartered in Toronto. We are actively growing our team in Canada and the US across functional areas.About the PositionWe are looking for aSenior Data Engineerto design, build, and operate robust data systems that power machine‑learning and analytics workflows in amedical and medical‑imaging context. This role sits at the intersection of data engineering, ML infrastructure, and cloud platforms, and will work acrossmultiple cloud environmentsand compute backends.You will be responsible for building scalable, reliable pipelines formedical imaging data (e.G., DICOM)and associated clinical metadata, supporting downstream ML research, model training, and production deployment. You should be comfortable operating in complex environments, collaborating closely with ML scientists, MLOps engineers, and software engineers.This is a senior, hands‑on role with significant architectural responsibility.ResponsibilitiesDesign, build,



and maintain scalable data pipelines for large‑scale medical imaging and clinical datasetsIngest, validate, normalize, and version DICOM and related medical imaging formatsBuild pipelines that support batch workloadsEnsure data quality, lineage, reproducibility, and auditability across systemsMedical & Imaging ContextWork with medical imaging data (CT, PET‑CT, MR, etc.) and associated metadataUnderstand healthcare data constraints, including PHI handling, privacy, and compliance considerationsCollaborate with ML teams on feature extraction pipelines (e.G., volumes, segmentations, derived imaging features)Operate across multi‑cloud environments (e.G., AWS, GCP, Slurm), including hybrid or on‑prem componentsDeploy and manage data workloads on Kubernetes (writing Terraform and Helm charts or manifests where appropriate)Work with containerized pipelines and distributed compute (e.G., GPU‑enabled workloads)Optimize cost, performance, and reliability across cloud platformsPartner closely with ML scientists, MLOps, and software engineers to support end‑to‑end workflowsOwn systems in production: monitoring, alerting, debugging, and incident responseContribute to technical direction, architecture decisions,



and best practicesMentor junior engineers and raise the overall data engineering barQualifications6+ years of experience in data engineering or related rolesStrong experience building production‑grade data pipelines at scaleExcellent Python skills (and comfort with performance‑critical data workloads)Deep understanding of data modeling, distributed systems, and ETL/ELT patternsHands‑on experience with medical imaging data, especially DICOMFamiliarity with medical or healthcare data contexts (clinical metadata, imaging workflows, regulatory constraints)Experience working in regulated or privacy‑sensitive environments is strongly preferredExperience operating data systems in at least one major cloud provider (AWS, GCP, Azure)Working knowledge of Kubernetes (deploying workloads, debugging pods, managing resources)Experience with containerized pipelines (Docker)Nice to HaveExperience supporting ML or AI workloads, especially in imaging or healthcareFamiliarity with MLOps concepts (data versioning, experiment tracking, reproducibility)Experience with GPU‑backed workloads and high‑performance computeKnowledge of federated learning or distributed data architecturesPrior experience in startups or fast‑moving, ambiguous environmentsCompetitive pay and generous equity participationCoverage for medical, vision, and dental insurance4 weeks of vacation per yearSeniority LevelMid‑Senior levelEmployment TypeFull‑timeJob FunctionBiotechnology Research, Hospitals and Health Care, and Software DevelopmentReferrals increase your chances of interviewing at Altis Labs by 2xGet notified about recent Data Engineer jobs in Greater Toronto Area, Canada.#J-18808-Ljbffr

📌 Senior Data Engineer - C$100,000 - C$170,000 A Year (Winnipeg)
🏢 Altis Labs
📍 Winnipeg