AI Data Engineer

Quantum Technologies. LLC

Austin (TX)

In loco

USD 180.000 - 230.000

Tempo pieno

13 ore fa
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Descrizione del lavoro

Quantum Technologies. LLC in Austin, TX, is seeking a Senior Data Engineer to design and implement AI-powered data solutions, building robust ELT/ETL pipelines and real-time integrations across Snowflake, Kafka, Spark, Airflow, and cloud-native services.

You will lead architecture reviews, PoCs, and production deployments, developing reusable accelerators and best practices while collaborating with customers to deliver scalable data platforms and AI integrations.

Competenze

  • 10+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
  • Deep expertise in Snowflake architecture, security, governance, and performance optimization.
  • Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
  • Experience building LLM, RAG, vector search, and agentic AI solutions.
  • Strong SQL and Python skills.
  • Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
  • Strong customer-facing communication and solution architecture skills.

Mansioni

  • Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
  • Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
  • Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
  • Build robust ELT/ETL pipelines and real-time integrations.
  • Lead workshops, architecture reviews, PoCs, and production deployments.
  • Develop reusable accelerators and best practices.

Conoscenze

SQL
Python
Snowflake
LLM integration
RAG
Airflow
dbt
Kafka
Spark
Cloud platforms
Solution architecture

Strumenti

Snowflake Cortex AI
CoCO
CoCO Desktop
Snowpark
Airflow
dbt
Spark
Kafka
OpenAI integration
Anthropic integration

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key Responsibilities:
  • Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
  • Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
  • Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
  • Build robust ELT/ETL pipelines and real-time integrations.
  • Lead workshops, architecture reviews, PoCs, and production deployments.
  • Develop reusable accelerators and best practices.
Required Qualifications:
  • 10+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
  • Deep expertise in Snowflake architecture, security, governance, and performance optimization.
  • Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
  • Experience building LLM, RAG, vector search, and agentic AI solutions.
  • Strong SQL and Python skills.
  • Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
  • Strong customer-facing communication and solution architecture skills.
Preferred Qualifications:
  • Snowflake certifications (Architect, Data Engineer, AI specialization).
  • Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
  • Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
  • Knowledge of enterprise security, governance, privacy, and compliance frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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