Senior Azure Data Engineer

Procom; Clive (IA); Remote; USD 110,000 - 150,000; Full time

Job summary

A leading consulting firm is seeking a Senior Azure Data Engineer for a remote position, focusing on data architecture and pipeline development. The ideal candidate will possess extensive Azure experience and strong problem-solving skills, working collaboratively with clients to deliver robust data solutions. This role demands a deep understanding of data governance and best practices in a cloud environment.

Qualifications

• 5+ years working with data services in Microsoft Azure.
• Experience in building end-to-end data pipelines.
• Proficient in data modeling and ensuring data integrity.

Responsibilities

• Design and implement robust enterprise data models.
• Lead discussions on Data Model design across teams.
• Assist with defining DataOps standards for deployments.

Skills

Azure Data Factory

Databricks

Azure Synapse

Data Modeling

Data Architecture

Terraform

Python

Azure CLI

Agile Software Development

Data Governance

Education

Advanced certifications in Azure

Degree in Computer Science or related fields

Tools

Azure DevOps

Jenkins

GitHub Actions

Job description

On behalf of one of our consulting clients : Procom Services is actively seeking a Senior Azure Data Engineer for a 6 to 12 month REMOTE contract with possible extensions and / or conversion to perm. This person will be an expert in the field and a powerhouse on the keyboard. In this role, you will partner with Client clients, taking them from “napkin to production.” You will listen to their challenges with empathy while using your unique problem-solving skills to discover the right approach and deliver value throughout the engagement. Only considering US citizens / Green Card holders for this opportunity.

• 5+ years building and working with data services in Microsoft Azure
• Significant experience with Azure Data Factory, Databricks, Azure Synapse, Azure Fabric, or similar technologies
• Design, analyze, and document data flows, integrations, modeling, and transformations
• A holistic approach to data architecture and design including considerations for data quality, data governance, and performance optimization
• Design and implement robust enterprise data models to support large-scale data processing and analytics that ensures data integrity, scalability, and efficient data flow across various business systems
• Lead discussions and provide oversight on Data Model design across multiple departments, teams, and subject areas
• Significant experience building end-to-end data pipelines in spark, leveraging Medallion architecture and engineering best practices
• Assist with the definition of DataOps standards and testing framework for development, testing, and production environment deployments
• Experience working in an agile software environment
• Employs best practices in information security for cloud-based data environments
• Uses resource provisioning tools such as Terraform, Bicep, or Azure Resource Manager (ARM)
• Familiar with modern software source code management and review processes, such as git and pull requests, along with SaaS-based services, such as GitHub, GitLab, and Atlassian Bitbucket
• Uses scripting tools such as Azure CLI, PowerShell, Bash, Python, and SED / AWK
• Uses build and release tools such as Azure DevOps, Jenkins, and GitHub Actions
• Excellent written and verbal communication skills – comfortable presenting technical information to non-technical stakeholders
• 5+ years of experience with Microsoft Azure data services
• Experience in data modeling, data flows, integrations, and transformations
• Strong understanding of data architecture, data quality, data governance, and performance optimization
• Proven ability to design and implement enterprise data models
• Experience building data pipelines in spark using Medallion architecture
• Proficiency in software engineering best practices
• Familiarity with DataOps standards and testing frameworks
• Experience with agile software development
• Knowledge of information security best practices for cloud-based data environments
• Proficiency with resource provisioning tools like Terraform, Bicep, or ARM
• Familiarity with source code management and review processes
• Proficiency with scripting tools like Azure CLI, PowerShell, Bash, Python, and SED / AWK
• Experience with build and release tools like Azure DevOps, Jenkins, and GitHub Actions

Senior Azure Data Engineer Desired Skills

• Experience with additional Azure services and tools
• Advanced certifications in Azure or related technologies
• Experience in client consulting and stakeholder management

There will be additional roles in October.

This position is Remote in the US.

Client will NOT consider candidates in the following states :

• Any state from Washington up through Maine except for PA. and Vir.
• All Westcoast states CA, Wash, Oregon
• Arizona
• Hawaii

Pls note that we can only consider US citizens / Green Card holders for this role