Azure Data Engineer

Machine Learning Technologies, LLC; Cupertino (CA); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Machine Learning Technologies, LLC in Cupertino, CA, is seeking a data engineer skilled in Azure Databricks and PySpark to design and optimize healthcare data pipelines.

You will work with ADLS Gen2, Delta Lake, and Azure Data Factory to build reliable lakehouse architectures while adhering to HIPAA standards and healthcare data norms.

This on-site role requires hands-on certification and practical experience, contributing to secure, scalable data solutions for modern health-tech applications.

Competenze

• Hands-on experience with Azure Databricks and PySpark.
• Active Databricks Certification.
• Experience with Azure Data Factory and ADLS Gen2.
• Delta Lake and Lakehouse architecture knowledge.
• Healthcare data integration and compliance with HIPAA standards preferred.

Conoscenze

Azure Databricks

PySpark

Databricks Certification

Azure Data Factory

ADLS Gen2

Delta Lake

Lakehouse architecture

Healthcare data integration

HIPAA knowledge

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

Job Description:

Required Skills:

• Hands-on experience with Azure Databricks and PySpark.
• Active Databricks Certification.
• Azure Data Factory (ADF) and ADLS Gen2.
• Delta Lake and Lakehouse architecture.
• Healthcare data integration and processing.
• Knowledge of HIPAA and healthcare data standards is preferred.

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.