Senior Data Engineer

We’re looking for an experienced Data Engineer to help build and support data solutions in a large-scale Azure environment. You’ll work closely with engineering, product, and business teams to build data pipelines, improve data platforms, and turn data into useful insights.

This is a hands-on role where you’ll be involved throughout the development lifecycle — from designing and building solutions to testing, deployment, monitoring, and production support.

What You’ll Be Doing

• Design, build, and support data engineering and analytics solutions.
• Build and maintain batch and real-time data pipelines using Azure and Databricks.
• Work with source application teams and product owners to understand data needs and build solutions that support business decisions.
• Develop data pipelines using tools such as Azure Data Factory, Azure Data Lake, Azure Event Hub, Azure Functions, Azure Databricks, and Azure Stream Analytics.
• Work with SQL, data modeling, data warehousing, and databases such as SQL Server and Oracle.
• Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub.
• Support cloud infrastructure, security, networking, deployments, monitoring, and production issues.
• Work with BI and reporting tools such as Power BI, Tableau, or Cognos.
• Help improve coding standards, development practices, security, and data privacy.
• Troubleshoot performance and data quality issues and identify ways to improve reliability.
• Work closely with engineers, technical analysts, product managers/owners, technical leads, and business teams.
• Provide technical guidance and help mentor other team members.
• Work in a DevOps environment where the team owns the product from development through production support.

Must-Have Technical Skills

• Data Engineering
• Azure Databricks
• PySpark
• Azure Data Factory (ADF)
• Strong SQL
• Data modeling and data warehousing
• SQL Server and/or Oracle
• Azure Cloud
• CI/CD pipelines — Azure DevOps and/or GitHub
• Experience with batch and streaming data pipelines
• BI/reporting experience with Power BI, Tableau, or Cognos

Experience

• 3+ years of experience developing software solutions or data engineering solutions in an Agile/DevOps environment.
• 3+ years of data analytics experience using SQL.
• 3+ years of Azure cloud development and data lake experience.
• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, Technology, or a related field, or equivalent experience.

Nice to Have

• 5+ years of data engineering/software development experience.
• 5+ years of SQL/data analytics experience.
• Full-stack development experience, preferably within Azure.
• Airline industry experience.
• Experience working with large-scale enterprise data environments.