Data Engineer

đŸ”„ 3 minutes ago

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ODAIA

11 - 50 employees

Founded 2018

đŸ’Œ Consulting

đŸ„ Healthcare

📩 Logistics

Consulting ‱ Healthcare ‱ Logistics

ODAIA is an AI-driven platform that enhances sales efficiency in the pharmaceutical industry by providing predictive analytics and personalized insights for healthcare professionals (HCPs). It processes sales data to deliver optimized call lists and prioritize targets for sales representatives, enabling effective engagement strategies across different territories. ODAIA helps companies improve patient outcomes and commercial success by leveraging customer science and data-driven decision-making.

📋 Description

‱ Build scalable data infrastructure supporting customer onboarding and implementation ‱ Design and ship Claude-powered tools to automate production incident error triage and fix proposals ‱ Develop automation tools for configuring and ingesting new customer datasets ‱ Define, prototype, and implement end-to-end data solutions for complex data challenges ‱ Advise internal teams and customers on data integration, architecture, and management best practices ‱ Implement scalable ingestion pipelines using AWS tools and services ‱ 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 for internal data access and cross-system interoperability ‱ Explore and onboard new data sources ‱ Design warehouse schemas to improve analytics and product capabilities ‱ Collaborate with product and engineering teams to align data systems with strategic objectives

🎯 Requirements

‱ 3+ years of experience in data engineering and production-grade data pipelines ‱ Strong experience with AWS, including ECS, S3, Lambda, DynamoDB, and API Gateway ‱ Experience with Snowflake ‱ Experience with Dagster or Airflow for orchestration and workflow management ‱ Strong programming proficiency in Python ‱ Experience building and optimizing complex data models with dbt ‱ Strong understanding of ETL processes ‱ Solid understanding of data structures, algorithms, and database design ‱ Expertise in performant SQL schema and query development ‱ Familiarity with CI/CD and test-driven development in a production environment ‱ Experience integrating CRM systems such as Veeva and Salesforce ‱ Experience handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset ‱ Demonstrated experience with the AWS stack or an equivalent cloud platform ‱ Background modernizing data environments and migrating legacy systems to cloud-native architectures ‱ Ability to manage projects independently, prioritize effectively, and adapt to changing business needs ‱ Excellent communication skills for translating complex technical concepts to technical and non-technical stakeholders

đŸ–ïž Benefits

‱ Meaningful stock option grants ‱ Immediate medical/dental enrollment ‱ Flexible time off ‱ Work-from-home flexibility ‱ Intentional, high-value in-person collaboration and socials ‱ Career development opportunities ‱ Values-based culture ‱ AI-native environment using AI and agentic automation

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