AI Data Engineer

🕒 il y a 2 mois

🔔 Pennsylvania – Distant

🔔 Pennsylvania – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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IntegriChain

Site WebLinkedInTous les Emplois

501 - 1000 employés

💼 Conseil

📦 Logistique

⚕️ Assurance santé

💰 Private Equity Round en 2016-03

Consulting • Logistics • Healthcare Insurance

IntegriChain est un fournisseur de premier plan de solutions axées sur les données conçues pour améliorer la commercialisation et l'accès au marché pharmaceutique. L'entreprise propose une plateforme étendue qui intègre stratégie, données, applications et infrastructure, spécifiquement adaptées pour soutenir la commercialisation des thérapies. IntegriChain fournit des analyses, des applications et des services gérés qui aident les fabricants pharmaceutiques à optimiser la portée et la rentabilité de leurs médicaments en exploitant les données des canaux, des patients et des payeurs. Leurs services incluent le conseil en stratégie et opérations, couvrant des aspects clés tels que les contrats, la tarification, l'accès des patients, la distribution et la logistique.

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

🎯 Exigences

• 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

🏖️ Avantages

• Excellent and affordable medical benefits • Flexible Paid Time Off • Paid Parental Leave • 401(k) Plan with a Company Match