Azure Data Engineer

Zyxware Technologies; Maryland; On-site; USD 90,000 - 130,000; Full time

Job summary

Zyxware Technologies is seeking a software engineer to design and implement enterprise backend and frontend solutions on Azure, focusing on scalable, secure data ecosystems and integration with analytics and data-sharing tools.

You will work with senior engineers to build data pipelines with ADF, optimize Synapse SQL pools and data warehouses, and help secure ADLS Gen2, following medallion architecture and Zero Trust principles in a federal-style setting.

Qualifications

• Experience: 2+ years of professional software development experience.
• Data Warehousing: Solid understanding of data warehousing and ETL/ELT patterns.
• Azure: Experience with Microsoft Azure, including ADLS Gen2, Azure Synapse Analytics, Azure Data Factory, and Self-hosted Integration Runtime.
• Languages: Strong foundational skills in SQL and Java.
• Networking: Familiarity with Azure networking including VNET, private endpoints, and firewalls.
• Architecture: Knowledge of medallion architecture principles.
• DevOps: Proficiency with Azure DevOps for CI/CD pipelines (YAML), build/release automation, repo management, branching strategies, and code reviews.
• Education: Bachelor degree in Computer Science, Information Technology, or related field, or equivalent practical experience.

Responsibilities

• Assist in designing and implementing backend and frontend components for enterprise data solutions on Azure.
• Build and maintain data pipelines using Azure Data Factory (ADF), including complex pipelines, triggers, parameterization, monitoring, and error handling.
• Support development and optimization of Azure Synapse Analytics SQL pools, Spark pools, and data warehousing solutions.
• Assist in the organization, security, and performance tuning of Azure Data Lake Storage (ADLS Gen2).
• Support implementation of ETL/ELT patterns following medallion architecture principles.
• Configure and troubleshoot Self-hosted Integration Runtime including setup, scaling, networking, and security.
• Utilize Azure DevOps for CI/CD pipelines (YAML), build/release automation, repository management, branching strategies, and code reviews.
• Maintain code quality and adhere to established engineering standards and practices.
• Track and manage technical issues using Azure DevOps, GitHub, or other federal Agency-approved tools.
• Assist with Azure networking configurations including VNET, private endpoints, and firewalls.
• Support implementation of security controls aligned with Zero Trust principles and federal security requirements.
• Integrate analytical and AI/ML solutions into existing federal agency system architectures.
• Work collaboratively in Agile teams, participating in sprint planning, stand-ups, reviews, and retrospectives.
• Contribute to technical documentation including design documents, current/future state diagrams, and user guides.
• Communicate progress and issues clearly to teammates and project managers.

Job description

You will assist in the design and implementation of enterprise-level backend and frontend solutions modernized Azure-based data ecosystem. This role emphasizes scalability, security, and integration with advanced analytics and data-sharing tools. You will help integrate analytical and AI solutions within existing system architectures and workflows, working alongside senior engineers to build and maintain mission-critical data infrastructure.

Key Responsibilities

Development & Implementation

• Assist in designing and implementing backend and frontend components for enterprise data solutions on Azure.
• Build and maintain data pipelines using Azure Data Factory (ADF), including complex pipelines, triggers, parameterization, monitoring, and error handling.
• Support development and optimization of Azure Synapse Analytics SQL pools, Spark pools, and data warehousing solutions.
• Assist in the organization, security, and performance tuning of Azure Data Lake Storage (ADLS Gen2).
• Support implementation of ETL/ELT patterns following medallion architecture principles.
• Configure and troubleshoot Self-hosted Integration Runtime including setup, scaling, networking, and security.

DevOps & Source Control

• Utilize Azure DevOps for CI/CD pipelines (YAML), build/release automation, repository management, branching strategies, and code reviews.
• Maintain code quality and adhere to established engineering standards and practices.
• Track and manage technical issues using Azure DevOps, GitHub, or other federal Agency-approved tools.

Integration & Security

• Assist with Azure networking configurations including VNET, private endpoints, and firewalls.
• Support implementation of security controls aligned with Zero Trust principles and federal security requirements.
• Integrate analytical and AI/ML solutions into existing federal agegy system architectures.
• Work collaboratively in Agile teams, participating in sprint planning, stand-ups, reviews, and retrospectives.
• Contribute to technical documentation including design documents, current/future state diagrams, and user guides.
• Communicate progress and issues clearly to teammates and project managers.

Required Qualifications

• Experience: 2+ years of professional software development experience.
• Data Warehousing: Solid understanding of data warehousing and ETL/ELT patterns.
• Azure: Experience with Microsoft Azure, including ADLS Gen2, Azure Synapse Analytics, Azure Data Factory, and Self-hosted Integration Runtime.
• Languages: Strong foundational skills in SQL and Java.
• Networking: Familiarity with Azure networking including VNET, private endpoints, and firewalls.
• Architecture: Knowledge of medallion architecture principles.
• DevOps: Proficiency with Azure DevOps for CI/CD pipelines (YAML), build/release automation, repo management, branching strategies, and code reviews.
• Education: Bachelor& degree in Computer Science, Information Technology, or related field, or equivalent practical experience.

Preferred Qualifications

• Knowledge of Azure networking and advanced security configurations.
• Experience with CI/CD and DevOps practices in cloud-native environments.
• Exposure to AI/ML integration within enterprise data pipelines.
• Azure certifications or formal training in cloud development.
• Public sector or federal consulting experience is a plus.

Other Qualifications

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and ability to work effectively in a distributed team environment.
• Eagerness to learn and grow in a federal consulting environment with mentorship from senior engineers.
• Highly organized, self-motivated, and proactive in identifying and resolving issues.
• Must be able to pass a federal agency background check and obtain a government-issued