Software Engineer - Dynata

This is a technical role for the Data Integration & Fulfillment team at Dynata . The successful candidate will be deeply involved in designing and delivering features, functionality on new and existing data applications as well as designing and implementing both batch and streaming data pipelines.

Responsibilities

• Design, develop, test, and maintain scalable software services and data pipelines for the Scaler platform.
• Build reliable APIs and application components that support data-processing and audience-management workflows.
• Create and maintain data pipeline architectures for processing large and complex datasets.
• Translate functional and non-functional business requirements into maintainable software and data solutions.
• Design efficient data models, transformations, and storage strategies.
• Improve system performance, scalability, reliability, and maintainability through profiling, testing, and architectural improvements.
• Implement automated tests, monitoring, logging, and operational safeguards.
• Diagnose production issues across application services, databases, infrastructure, and data-processing workflows.
• Collaborate with software engineers, data engineers, analysts, and product stakeholders to deliver end-to-end platform capabilities.
• Apply security best practices to protect sensitive data and reduce the risk of unauthorized access.

Skills and Attributes

• Strong software engineering experience, including designing, implementing, testing, and maintaining production services.
• Experience developing backend applications and APIs, preferably using Go or a comparable programming language.
• Advanced SQL knowledge and experience with relational databases, query optimization, and data modelling.
• Experience building and optimizing large-scale data pipelines, architectures, and datasets.
• Understanding of distributed systems, asynchronous processing, and cloud-based architectures.
• Experience with automated testing, code reviews, CI/CD workflows, observability, and production support.
• Ability to perform root-cause analysis across application code, data, infrastructure, and operational processes.
• Experience working with structured and unstructured datasets.
• Knowledge of data transformation, metadata management, dependency management, and workload orchestration.
• Ability to balance software quality, delivery speed, system performance, and data reliability.
• Experience collaborating with cross-functional, remote, and distributed teams.
• Strong analytical thinking, problem-solving, and communication skills.

Education and Experience

• 3+ years of experience in a data engineer or software development role
• Graduate degree in Computer Science or a closely related discipline.
• Expe