The Zig

Senior Data Engineer (AI Systems & Data Platforms)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (AI Systems & Data Platforms) with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python, SQL, and experience with data pipelines and modern data platforms like Azure and Snowflake.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Databricks #AI (Artificial Intelligence) #Data Pipeline #Databases #"ETL (Extract #Transform #Load)" #Datasets #Snowflake #Data Engineering #Scala #Data Modeling #Data Quality #Azure #SQL (Structured Query Language) #Python
Role description
Why this role exists We build AI systems that drive real business outcomes. This role exists to design and build the data systems that power those outcomes — not dashboards, but operational intelligence and AI. What you will own • Design and implement scalable data pipelines • Write production-grade code for ingestion and transformation • Build data models for analytics and AI use cases • Work within Microsoft Fabric / Azure ecosystem • Ensure data quality, performance, and reliability • Prepare data for AI use (RAG, embeddings, semantic layers) What you will build (real outcomes) • Reliable pipelines powering business workflows • Data models enabling AI agents and decision systems • Systems that reduce manual effort and improve efficiency • AI-ready datasets deployable in weeks What we’re looking for • Strong coding ability (Python and SQL) • Experience building data pipelines end-to-end • Deep understanding of data modeling • Experience with modern data platforms (Fabric, Databricks, Snowflake) • Ability to work with messy enterprise data What will make you stand out • Experience supporting AI/LLM systems • Familiarity with vector databases and embeddings • Bias toward shipping quickly and iterating in production