Azure Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Cupertino (CA); In loco; USD 83.000 - 152.000; Tempo pieno

Descrizione del lavoro

Machine Learning Technologies LLC is seeking an Azure Data Engineer for an 8-month engagement in Cupertino, CA. The role requires hands-on work with Azure Databricks, PySpark, ADF, ADLS Gen2, Delta Lake, and Lakehouse architecture. Healthcare data integration and HIPAA knowledge are preferred.

The position supports U.S. client projects with W-2/1099/C2C employment options, and a bill rate of $83/hour on C2C, with potential extension beyond 8 months.

Competenze

• Strong experience in Azure data engineering.
• Hands-on experience with Azure Databricks and PySpark.
• Active Databricks Certification.
• Azure Data Factory (ADF) and ADLS Gen2.
• Python, SQL, Apache Spark.
• ETL/ELT pipeline development.
• Delta Lake and Lakehouse architecture.
• Healthcare data integration and processing.
• Knowledge of HIPAA and healthcare data standards is preferred.

Conoscenze

Azure Data Engineering

Azure Databricks

PySpark

Python

SQL

ETL/ELT

Delta Lake

Lakehouse

Healthcare data integration

HIPAA knowledge

Strumenti

Azure Data Factory

ADLS Gen2

Azure Databricks

Delta Lake

Descrizione del lavoro

Job Information

• Job ID: J54178
• Job Title: Azure Data Engineer
• Location: Cupertino, CA
• Location: Cupertino, CA
• Duration: 8 Months + Extension
• Domain Exposure: IT/Software
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Bill Rate: $83/hour (C2C)
• Job Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Required Skills

• Strong experience in Azure Data Engineering.
• Hands-on experience with Azure Databricks and PySpark.
• Active Databricks Certification.
• Azure Data Factory (ADF) and ADLS Gen2.
• Python, SQL, Apache Spark.
• ETL/ELT pipeline development.
• Delta Lake and Lakehouse architecture.
• Healthcare data integration and processing.
• Knowledge of HIPAA and healthcare data standards is preferred.

Equal Opportunity Employer

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.