Software Engineer II - Data Management
About The Position
The Data Management team is building the Trust Engine that powers the entire product, moving beyond simple data entry to architecting a self-healing, intelligent data ecosystem. As a member of the team, you will contribute to the technical vision for how customers define, govern, and trust their data at massive scale. This involves designing and building systems that govern the data lifecycle, including complex ingestion planning, semantic enrichment, and data observability, spanning backend infrastructure, APIs, and customer-facing product surfaces. The role is at the forefront of transforming data governance into an automated, AI-driven infrastructure, powering 'Ask AI' and Data Assistant capabilities, and solving the challenge of data validation in analytics. The team operates quickly, requiring rapid iteration, ownership, and alignment on projects from new product features to best practices and scalability of codebase and infrastructure.
Requirements
- Solid fullstack engineering experience. 2–4 years delivering features that span backend services and user-facing product, including APIs and interactive UI.
- Fullstack proficiency. Working skills in JavaScript/TypeScript (Node.js and/or React) and/or Python, plus some exposure to AWS or cloud infrastructure tooling.
- A reliability mindset. Familiarity with observability basics (metrics, logs, traces) and automated testing — and a habit of thinking about what happens when things go wrong.
- Customer focus. Ability to connect your work to customer outcomes and use data to validate that what you shipped actually helped.
- Clear communication. Comfortable asking clarifying questions, flagging tradeoffs, and keeping teammates informed without being prompted.
Nice To Haves
- Exposure to event analytics, data governance/taxonomy, metadata systems, session replay, or AI-assisted tooling.
Responsibilities
- Ship features end-to-end. Take ownership of features and improvements that measurably improve data quality, reliability, and the customer experience — from design through delivery, with support from senior teammates where needed.
- Contribute to technical discussions. Participate actively in design and code reviews, ask good questions, propose solutions, and help raise the quality bar for the work you're closest to.
- Build for reliability. Instrument the services you build, contribute to on-call rotations, respond to incidents, and leave systems better than you found them.
- Write correct, scalable code. Contribute to ingestion and governance workflows with attention to correctness, performance, and testability — applying appropriate caching, error handling, and resilience patterns.
- Help build trusted data foundations. Work on capabilities such as event/property observability (anomalies, schema drift), safe clean-up workflows, metadata ingestion, and shared data health APIs — often in collaboration with AI foundations, Pipeline/Query, and Go-to-market teams.
- Contribute to fullstack delivery. Build features spanning backend services, data pipelines, and the UI and product surfaces customers use daily.
- Partner across functions. Work with Product, Design, and peer engineering teams to understand requirements and deliver well-grounded solutions.
- Grow and help others grow. Invest in your own development, share what you learn, and contribute to a culture of feedback and continuous improvement.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
