IntegriChain
501 - 1000 employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
☁️ SaaS
💰 Private Equity Round on 2016-03
Healthcare Insurance • Pharmaceuticals • SaaS
IntegriChain is a leading provider of data-driven solutions designed to enhance pharmaceutical commercialization and market access. The company offers an extensive platform that integrates strategy, data, applications, and infrastructure, specifically tailored to support therapy commercialization. IntegriChain provides analytics, applications, and managed services that help pharmaceutical manufacturers optimize the reach and profitability of their drugs by harnessing channel, patient, and payer data. Their services include strategy and operational consulting, covering key aspects such as contracts, pricing, patient access, distribution, and logistics.
AI Data Engineer
🕒 May 19
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IntegriChain
501 - 1000 employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
☁️ SaaS
💰 Private Equity Round on 2016-03
Healthcare Insurance • Pharmaceuticals • SaaS
IntegriChain is a leading provider of data-driven solutions designed to enhance pharmaceutical commercialization and market access. The company offers an extensive platform that integrates strategy, data, applications, and infrastructure, specifically tailored to support therapy commercialization. IntegriChain provides analytics, applications, and managed services that help pharmaceutical manufacturers optimize the reach and profitability of their drugs by harnessing channel, patient, and payer data. Their services include strategy and operational consulting, covering key aspects such as contracts, pricing, patient access, distribution, and logistics.
📋 Description
• Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable • Design and implement Snowflake and dbt pipelines from raw source data to curated gold-layer datasets • Create semantic models that LLM tools can use reliably • Partner with data science, product, and engineering teams to convert data dictionaries and business definitions into AI-ready data products
🎯 Requirements
• 6+ years of experience in data engineering, analytics engineering, database engineering, or data platform development in production environments • Strong hands-on experience with Snowflake, including SQL development, performance tuning, security-aware design, cost optimization, and large-volume processing • Strong hands-on experience with dbt or comparable ELT tooling, including models, tests, documentation, lineage, and environment promotion • Experience building raw-to-curated-to-gold data pipelines and business-ready datasets • Strong SQL and Snowflake development skills, including complex transformations, views, stored procedures/Snowflake Scripting, and query optimization • Experience creating semantic layers, semantic models, metrics, dimensions, relationships, and curated analytical views • Good understanding of ER modeling, dimensional modeling, denormalized consumption models, and data grain management • Experience translating data dictionaries and business definitions into physical models, dbt models, and semantic-layer definitions • Understanding of Snowflake Cortex capabilities such as Cortex Analyst, Cortex Complete, and semantic-model-driven natural-language querying • Ability to partner with data science, product, engineering, and business teams to deliver AI-ready data products
🏖️ Benefits
• Excellent and affordable medical benefits • Flexible Paid Time Off • Paid Parental Leave • 401(k) Plan with a Company Match
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