Senior Software Engineer, Data Authoring Platform
Company: Jobgether
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-18
About this role
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Data Authoring Platform in United States.
This role sits at the heart of a large-scale data ecosystem that powers trusted insights and decision-making across a global organization. You will help design and build the foundational systems that enable thousands of internal users to create, transform, and consume high-quality data models and metrics. The environment is highly technical, blending distributed systems, data engineering, and platform software development to ensure consistency, reliability, and performance at scale. You will contribute to the evolution of a semantic layer that defines a single source of truth for business-critical analytics and experimentation. Working alongside experienced engineers, you will tackle complex challenges in data transformation, query optimization, and system design. This is a high-impact role where your work directly improves how data is used to shape product, operational, and strategic decisions.
Accountabilities
- Design, build, and enhance core components of a large-scale data authoring and transformation platform used across the organization.
- Develop and extend services such as query rewriting, semantic modeling, and data pipeline abstraction layers.
- Improve the reliability, performance, and scalability of data infrastructure powering critical analytics and business metrics.
- Collaborate with cross-functional engineering teams to define and implement APIs and frameworks for data modeling and transformation.
- Participate in full software development lifecycle activities, including architecture design, implementation, testing, deployment, and on-call support.
- Research and evaluate emerging semantic layer techniques, data systems, and database engine capabilities to guide platform evolution.
- Enable internal teams to efficiently query, model, and experiment with data through int...