Data Implementation Engineer

Data Implementation Engineer

ABOUT ODAIA
ODAIA noun
o
· da·ia | 'oh-day-yeah
An Ancient Greek word referring to “tools of the trade.”
ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings 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. ODAIA's SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers - (HCPs), predict prescribing behaviors and make informed decisions that bring therapies to patients faster.

ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge.

That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.

To learn more visit odaia.ai.

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.

As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our customer’s success. You will partner closely with the Business Acceleration and Engineering teams throughout the entirety of the customer lifecycle and be responsible for managing all data-related activities. The ideal candidate will have strong technical fluency – especially in data analysis, querying, and ETL.

Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you’ve worked on that relates to one of the “What you bring” or “What you will do” points, and share how you’d expand on it here at ODAIA.

• Work directly with our customers to discover data assets and work to integrate them into our platform
• Collaborate with customers and internal teams to define technical requirements for implementations
• Configure our platform to meet the needs of the customer
• Build automated ETL workflows to enable repeatable and high quality data ingestion
• Utilize modern data tools like PySpark and Snowflake to explore and troubleshoot issues with ETL, data ingestion or system configuration
• Utilize our platform to ensure smooth weekly data deliveries
• Continuously seek opportunities to enhance system processes and drive scalability
• Configure and deploy solutions that integrate with customers’ existing systems, ensuring seamless data flow and functionality
• Lead troubleshooting efforts during implementation phases to resolve technical challenges
• Uphold security protocols to protect data integrity and comply with industry standards

• 3+ years of experience with data migration and ETL tools
• 3+ years of experience utilizing large data technologies such as PySpark and Snowflake
• Strong proficiency in programming (e.g., Python, SQL), database management, and cloud platforms (e.g., AWS)
• Knowledge of APIs and integration frameworks
• Familiarity with industry-specific tools (e.g., Veeva Vault, Salesforce) and standards
• Previous experience in the life sciences/pharma industry is a strong asset
• Excellent communication and interpersonal skills to work effectively with technical and non-technical stakeholders
• Strong problem-solving skills and a customer-centric mindset

• 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

We are a remote first company with employees in both Canada and the US. Our office hub is located downtown Toronto.…