Senior Data Engineer

Senior Data Engineer ABOUT ODAIA ODAIA is a remote‑first organization. All positions are WFH, with frequent company and team socials, events, and meetings both in‑person and virtually. ODAIA works with pharma commercial teams to grow their brands and engage with the right healthcare professionals (HCPs) at the right time. Our SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers, predict prescribing behaviors, and make informed decisions that 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 build an innovative, diverse, and ego‑free business where trust, innovation, and ownership are valued. Career development opportunities are extensive. WHAT’S ON OFFER Reporting to the Director of Data Management, the Senior Data Engineer will design and implement scalable end‑to‑end solutions focused on fast, efficient data onboarding and initial customer data bring‑up. WHAT YOU WILL DO 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. WHAT YOU BRING 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. WHAT WE OFFER A strong, positive values‑based culture, we Ignite Innovation, Own It, and Stand Together. Medical & dental benefits – with 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. LOCATION 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. EMPLOYMENT VERIFICATION 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. DIVERSITY, EQUITY & INCLUSION 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 AND ACCESSIBILITY 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 hr@odaia.ai. TO APPLY At this time, we are not accepting additional applications for this position. Please check back for future opportunities. #J-18808-Ljbffr