Azure Data Engineer: Cloud Analytics Architect

Quisitive; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Quisitive is seeking a Data Engineer to design and deliver data and analytics solutions on Microsoft Azure and Fabric. You will work on client projects, building data pipelines, transforming data, and enabling reporting and insights across industries.

You'll collaborate with architects and consultants, write SQL, Python or PySpark, and apply CI/CD and IaC practices using Azure DevOps, Terraform, or Bicep to ensure reliable deployments.

Qualifications

• Proven experience building data and analytics solutions on Azure.
• Hands-on with Azure Databricks, Data Factory, Synapse and Fabric.
• Strong SQL and Python or PySpark skills.
• Understanding of ETL/ELT, data warehousing concepts.
• Experience with source control, CI/CD, and IaC tools.
• Familiarity with IaC such as Terraform or Bicep.

Responsibilities

• Design and build data and analytics solutions on Azure and Fabric.
• Develop data pipelines and integration using ADF, Databricks, Synapse, Fabric.
• Write and maintain SQL, Python, and PySpark code for analytics.
• Collaborate with project teams and clients to deliver solutions.
• Contribute to design, testing, deployments, and troubleshooting.
• Use Azure DevOps and IaC to support deployments and environments.
• Share knowledge with teammates and stay current on data platform.

Skills

Azure Data Engineering

SQL

Python

PySpark

Data warehousing

CI/CD

Communication

Tools

Azure Databricks

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Terraform

Bicep

Azure DevOps

Job description

Quisitive is seeking a Data Engineer to design and deliver data and analytics solutions on Microsoft Azure and Fabric. You will work on client projects, building data pipelines, transforming data, and enabling reporting and insights across industries.

You'll collaborate with architects and consultants, write SQL, Python or PySpark, and apply CI/CD and IaC practices using Azure DevOps, Terraform, or Bicep to ensure reliable deployments.