Key Responsibilities

• Develop, deploy, and manage data pipelines using Azure Data Factory (ADF) to ingest, transform, and store large volumes of structured and unstructured data.
• Write and optimize complex T-SQL queries, stored procedures, and views to support data analysis, reporting, and downstream applications.
• Collaborate with Data Scientists to operationalize ML models within Azure ML Studio, including data preparation, feature engineering, and model deployment.
• Monitor and troubleshoot data pipeline performance, ensuring reliability and data quality.
• Design and implement ETL/ELT solutions following best practices for cloud architecture, security, and data governance.
• Work with stakeholders to understand business requirements and translate them into scalable data solutions.
• Participate in code reviews, performance tuning, and automation of repetitive data processing tasks.
• Maintain thorough documentation of data workflows, pipeline configurations, and system architecture.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 8+ years of experience in a data engineering or development role.
• Proficient in Azure Data Factory (ADF): building, debugging, scheduling, and managing data pipelines.
• Strong command of T-SQL: complex joins, subqueries, CTEs, stored procedures, and performance tuning.
• Experience with Azure ML Studio: integrating datasets, training models, and managing ML pipelines.
• Solid understanding of data modeling, warehousing concepts, and data architecture.
• Familiarity with Azure services such as Blob Storage, Data Lake, Synapse, Key Vault, and Azure DevOps.

Preferred Qualifications

• Experience deploying ML models into production environments.
• Working knowledge of Python or R for data manipulation or ML integration.
• Experience with CI/CD pipelines for data and ML workflows.
• Knowledge of data governance, security, and compliance standards (e.g., GDPR, HIPAA).
• Certifications such as Azure Data Engineer Associate or Azure AI Engineer Associate are a plus.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.