What You’ll Do

• Collaborate with engineers to design and execute data migrations between systems
• Perform data mapping, transformation, validation, and reconciliation
• Ensure data accuracy and completeness across environments
• Build and maintain production data pipelines and APIs
• Develop scripts and services for data movement and validation
• Model data and analyze source and target schemas
• Write complex SQL queries and work with relational and NoSQL databases
• Identify and resolve data quality issues during migration
• Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support
• Contribute to discussions around data quality, test strategy, and automation

How You’ll Succeed

• Deliver stable, well-tested data pipelines and migration solutions
• Write clean, maintainable production code
• Maintain strong attention to detail when handling data transformations
• Communicate clearly with technical teammates and stakeholders
• Thrive in a collaborative, service-oriented environment

Who You Are

• 3+ years of experience in a data-focused engineering or data science role
• At least 5 years of experience delivering production software solutions
• Proficient in Python with experience shipping production pipelines
• Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred)
• Experience building scripts or services for data movement and validation
• Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms
• Experience using Git or other distributed version control systems
• Familiar with automated deployments and continuous delivery practices
• Solid understanding of REST APIs, JSON, testing, security, and performance best practices
• Bachelor’s degree in Computer Science or related field, or equivalent experience
• Strong verbal and written communication skills

The successful candidate will be required to work PST.

Since 2005, Perform's engineers have been helping companies scale their apps and their teams. We were near-shoring before it was even a term and have worked with 100s of clients along the way.