Azure Data Engineer

Robotics Technologies

Cupertino (CA)

On-site

USD 94,000 - 134,000

Full time

6 days ago

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Job summary

Robotics Technologies is hiring an Azure Data Engineer for an onsite role in Cupertino, CA. This contract position focuses on building and evolving Azure-based data pipelines with a Lakehouse orientation for healthcare data processing.

You will work hands-on with Azure Databricks, PySpark, and Azure Data Factory to support ETL/ELT workflows, Delta Lake, and HIPAA-aligned data integration. The eight-month assignment offers extension potential and competitive hourly compensation.

Qualifications

Strong experience in Azure Data Engineering.
Hands-on experience with Azure Databricks and PySpark.
Active Databricks Certification.
Experience with Azure Data Factory (ADF) and ADLS Gen2.
Programming and query skills including Python, SQL, and Apache Spark.
Demonstrated experience with Delta Lake and Lakehouse architecture.
Experience with healthcare data integration and processing.
HIPAA and healthcare data standards knowledge is preferred.

Responsibilities

Develop ETL/ELT pipelines.
Support healthcare data integration and processing.

Skills

Azure data engineering

Python

SQL

Apache Spark

Delta Lake

Lakehouse architecture

Healthcare data integration

HIPAA knowledge (preferred)

Databricks

Tools

Azure Databricks

Azure Data Factory

ADLS Gen2

PySpark

Job description

Robotics Technologies is hiring an Azure Data Engineer for an onsite role in Cupertino, CA. This is a contract position for 8 months, with the opportunity for extension. The work centers on building and evolving Azure-based data pipelines with a focus on Lakehouse and healthcare-oriented data processing.

In this role, you will apply hands-on Azure data engineering experience across Databricks, PySpark, and Azure Data Factory, while supporting ETL/ELT workflows and healthcare data integration and processing.

Responsibilities

Develop ETL/ELT pipelines.
Support healthcare data integration and processing.

Requirements

Strong experience in Azure Data Engineering.
Hands-on experience with Azure Databricks and PySpark.
Active Databricks Certification.
Experience with Azure Data Factory (ADF) and ADLS Gen2.
Programming and query skills including Python, SQL, and Apache Spark.
Demonstrated experience with Delta Lake and Lakehouse architecture.
Experience with healthcare data integration and processing.
HIPAA and healthcare data standards knowledge is preferred.