Senior Data Engineer

Responsibilities

• Provide Level 2/Level 3 production support for Azure-based data platforms and pipelines
• Monitor system performance to ensure high availability, reliability, and incident resolution
• Develop, maintain, and optimize data pipelines using ADF, ADLS, Synapse, and Databricks
• Implement and support CI/CD pipelines using Azure DevOps to enable automated deployments
• Manage version control via Git and implement branching strategies
• Write and optimize complex SQL queries for troubleshooting and data validation
• Collaborate with engineering teams to adopt DevOps and DataOps best practices

Requirements

• 5–8 years of experience in Data Engineering or DevOps
• Strong experience in Azure Data Engineering (ADF, ADLS, Synapse)
• Hands-on experience with Databricks (PySpark/Spark)
• Advanced proficiency in SQL
• Experience with CI/CD tools, specifically Azure DevOps
• Proficiency with Git and version control systems
• Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

• Hands-on experience with Azure DevOps pipelines and automation frameworks
• Exposure to data quality and governance practices
• Experience in the Healthcare or Life Sciences domain

Benefits

• Comprehensive health, dental, vision, life insurance, and disability plans
• Eligibility for 401(k) plan participation
• 11 paid holidays and 12 weeks of parental leave
• Flexible "free time" PTO policy for sick time or vacation

About the Company

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. We combine expertise in artificial intelligence, design, engineering, and digital transformation to create cutting-edge solutions for the business world.