As a Junior Software Engineer, you'll support data engineering tasks, write scalable code, debug systems, and maintain databases while collaborating with senior engineers.

Manage third-party technical integration relationships, drive operational programs, and collaborate with internal teams for successful integration execution and strategy.

Manage the development and implementation of AI-driven features and machine learning models. Collaborate with teams and optimize solutions for performance and scalability.

Develop and produce high-quality technical documentation for Marigold's products, ensuring clarity and usability for users. Engage with stakeholders for collaboration and continuously improve documentation quality.

The Staff Engineer designs and maintains technology strategies, mentors engineers, resolves technical challenges, and drives innovation across teams, balancing high-level impacts with hands-on coding responsibilities.

As a Senior Quality Engineer, you'll design and develop automated testing solutions, mentor junior engineers, and ensure product quality through rigorous testing and analysis.

The Backend Lead Engineer will design, develop, and maintain scalable software solutions, mentor engineers, and oversee code quality and performance benchmarks.

Manage global indirect tax compliance and reporting; prepare tax returns, handle audits, and improve processes for efficiency.

The Sr Data Scientist will design, develop, and deploy scalable data solutions, work through the data science life cycle, and analyze data for trends and insights to enhance marketing efforts.

Technical Support Engineers troubleshoot complex client issues, mentor junior staff, and ensure high-level customer support, while continuously improving service delivery.

The Tax Manager oversees global tax compliance and reporting, manages audit processes, advises on tax matters, and ensures effective tax strategies across various jurisdictions.

Design, develop, and implement interactive dashboards and reports. Create and maintain data pipelines and assist stakeholders with SQLServer performance queries.

The Data Architect optimizes data processes, integrates client data systems with Selligent, translates business use-cases into data requirements, and collaborates on project deliverables.

Design, develop, and maintain high-quality Python applications and services, optimize performance, and collaborate with DevOps teams for cloud-based solutions.