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.
- Experience with Snowflake (Nice to have) and MySQL
- Experience with relational SQL
- Experience with AWS cloud services: EC2, EMR, RDS, Kinesis, etc. - Nice to have
- Experience on one or more of the following languages: Python, GoLang, JAVA
Dynata is the world’s largest first-party data and insights platform. With a reach that encompasses 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. Learn more at www.dynata.com.
At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.
For administrative purposes your personal data will be kept on record and will be disclosed and transferred both within and outside the European Economic Area, including the United States of America. We shall take all reasonable steps to prevent any unauthorized access to your personal data.
