Data Engineer
Data Engineer
ABOUT ODAIA
ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform — it orchestrates.
To learn more visit odaia.ai.
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.
ODAIA ns (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.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
Reporting to the Manager, Data Engineering and as a member of the Data Management team, the 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.
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 ship Claude-powered tools that reduce mean time to resolution (MTTR) for production incidents by automating error triage and fix proposals
- 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 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
- 3+ 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 st