HW3
Prinicipal Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Engineer with 8-15+ years of experience, focused on cloud-native data platforms and AI initiatives. Contract length is unspecified, with a pay rate of "unknown". Location is Austin/San Francisco. Key skills include Databricks, Snowflake, Apache Spark, Kafka, and Python. Candidates must be authorized to work in the U.S. on a W2 basis.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Snowflake #dbt (data build tool) #Spark (Apache Spark) #Delta Lake #Langchain #Apache Spark #Kafka (Apache Kafka) #Data Engineering #Apache Iceberg #AWS (Amazon Web Services) #Data Pipeline #Consulting #GCP (Google Cloud Platform) #Python #Cloud #Azure #Airflow #SQL (Structured Query Language) #Databricks #Data Architecture #AI (Artificial Intelligence) #Scala
Role description
We are looking for an experienced Principal Data Engineer to join a high-performing consulting team (Austin/ San Francisco) delivering enterprise-scale AI and modern data platform solutions for leading organizations. This role is suited to senior technical professionals who have a strong background in designing and building cloud-native data platforms, scalable data pipelines, and modern data architectures.
The successful candidate will have 8-15+ years of data engineering experience with hands-on expertise across technologies such as Databricks, Snowflake, Apache Spark, Kafka, Airflow, dbt, Python, SQL, and one or more major cloud platforms including AWS, Azure, or GCP. Recent experience delivering AI initiatives is essential, including work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), orchestration frameworks, and AI-powered workflows. Experience with technologies such as LangChain, LangGraph, CrewAI, Bedrock, Vertex AI, Azure OpenAI, Delta Lake, Apache Iceberg, or MLOps would be highly beneficial.
This opportunity is best suited to professionals currently working as Principal, Staff, Lead, or Architect-level Data Engineers who enjoy solving complex engineering challenges, modernizing enterprise data platforms, and enabling AI-driven solutions at scale.
Candidates must be authorized to work in the United States on a W2 basis.
We are looking for an experienced Principal Data Engineer to join a high-performing consulting team (Austin/ San Francisco) delivering enterprise-scale AI and modern data platform solutions for leading organizations. This role is suited to senior technical professionals who have a strong background in designing and building cloud-native data platforms, scalable data pipelines, and modern data architectures.
The successful candidate will have 8-15+ years of data engineering experience with hands-on expertise across technologies such as Databricks, Snowflake, Apache Spark, Kafka, Airflow, dbt, Python, SQL, and one or more major cloud platforms including AWS, Azure, or GCP. Recent experience delivering AI initiatives is essential, including work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), orchestration frameworks, and AI-powered workflows. Experience with technologies such as LangChain, LangGraph, CrewAI, Bedrock, Vertex AI, Azure OpenAI, Delta Lake, Apache Iceberg, or MLOps would be highly beneficial.
This opportunity is best suited to professionals currently working as Principal, Staff, Lead, or Architect-level Data Engineers who enjoy solving complex engineering challenges, modernizing enterprise data platforms, and enabling AI-driven solutions at scale.
Candidates must be authorized to work in the United States on a W2 basis.
