Senior Data Engineer

ABOUT ODAIA

ODAIA is a remote first organization. We work with pharma commercial teams to grow their brands by using AI to understand customer behavior. Our SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers, predict prescribing behaviours and bring therapies to patients faster.

OUR MISSION

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers through human‑centric software powered by AI. We also build an innovative, diverse, and ego‑free business where trust, innovation and ownership are valued. We emphasise career development and growth opportunities.

WHAT’S ON OFFER

Reporting to the Director, Data Management and as a member of the Data Management team, the Senior Data Engineer is passionate, curious, and motivated to design and implement scalable solutions end‑to‑end. This high‑impact position focuses on key aspects of data management including fast and efficient data onboarding and the initial bring‑up of customer data into our system.

• Build scalable data infrastructure to support customer onboarding and implementation, enabling fast and efficient ingestion of customer data into ODAIA’s platform
• Design and develop automation tools that streamline how implementation consultants configure and ingest new customer datasets
• Solve complex data challenges by defining, prototyping, and implementing end‑to‑end data solutions in an agile startup environment
• Serve as a subject matter expert to internal teams and customers on data integration, architecture, and management best practices
• Implement scalable ingestion pipelines leveraging AWS tools and services to manage high‑volume customer data
• Develop integrations with Veeva/Salesforce and other third‑party data sources; contribute to proof‑of‑concept builds and internal applications
• Design APIs and data models that enable internal data access and cross‑system interoperability
• Explore and onboard new data sources, designing warehouse schemas that improve analytics and product capabilities
• Collaborate cross‑functionally with product and engineering teams to align data systems with strategic objectives

• 5+ years in data engineering, building production‑grade data pipelines
• Strong experience with AWS (ECS, S3, Lambda, DynamoDB, API Gateway, etc.) and Snowflake
• Experience with Dagster or Airflow for orchestration and workflow management
• Strong programming proficiency in Python
• Experience building and optimizing complex data models utilizing DBT with a strong understanding of ETL processes
• Solid understanding of data structures, algorithms, and database design, with expertise in performant SQL schema and query development
• Familiarity with CI/CD and Test‑Driven Development in a production environment
• Experience integrating with CRM systems (Veeva, Salesforce) and handling healthcare, pharmaceutical, or pharmacy‑related datasets is a strong asset
• Solid, demonstrated experience in AWS stack or an equivalent cloud platform
• Background in modernizing data environments, migrating from legacy systems to cloud‑native architectures
• Collaborative and self‑directed, able to manage projects independently, prioritize effectively, and adapt quickly to changing business needs
• Excellent communication skills, capable of translating complex technical concepts for both technical and non‑technical stakeholders

• A strong, positive values‑based culture where we Ignite Innovation, Own It, and Stand Together
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• Medical & dental benefits – immediate enrollment for full‑time, permanent employees
• Flexible working hours, focusing on what we achieve and not the number of hours we clock
• Flexible time off policies
• Stock option grants

We are a remote first company with employees in both Canada and the US. Our office hub is located downtown Toronto. Team building, communication and social connectivity are important and we support this with virtual and in‑person collaborative work sessions, team meetings and socials.

Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.

ODAIA is an equal‑opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances.

Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at