Azure Cloud Data Engineer - Build Scalable Data Pipelines

Kavaliro; California; On-site; USD 115,000 - 152,000; Full time

Job summary

Kavaliro seeks a Cloud Data Engineer for a direct-hire opportunity in California. You will design, implement, and manage data solutions on Microsoft Azure and other cloud platforms, overseeing data pipelines, storage, processing, and integration to enable data-driven decision-making.

Responsibilities include collaborating with analysts and stakeholders, ensuring data quality and security, and mentoring IT staff on best practices during ongoing cloud migration projects involving 500–800+

Qualifications

• Bachelor's degree in computer science or a closely related field.
• 5+ years of Azure migration experience.
• Experience with Python and SQL.
• Experience with Azure Data Factory, Databricks, Data Lake Storage, SQL DW, Analysis Services, and PySpark.
• ETL in a data warehouse environment with slowly changing dimensions.
• Experience building and optimizing big data pipelines and architectures.

Responsibilities

• Design and implement scalable data pipelines and storage environments using cloud services.
• Collaborate with analysts and stakeholders to understand data requirements and implement data solutions.
• Ensure data cleansing, mapping, transformation, and optimization for storage and use.

Skills

Python

SQL

Education

Bachelor's degree in computer science or related field

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

SQL Data Warehouse

Analysis Services

PySpark

API

Job description

Kavaliro seeks a Cloud Data Engineer for a direct-hire opportunity in California. You will design, implement, and manage data solutions on Microsoft Azure and other cloud platforms, overseeing data pipelines, storage, processing, and integration to enable data-driven decision-making.

Responsibilities include collaborating with analysts and stakeholders, ensuring data quality and security, and mentoring IT staff on best practices during ongoing cloud migration projects involving 500–800+