Senior Data Engineer (Analytics)
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 16, 2026.
Join Grindr as a Senior Data Engineer, Analytics, where you'll take ownership of critical business datasets, design data models, and build pipelines. You'll collaborate with various teams to translate business questions into scalable data solutions and leverage modern engineering tools to enhance development. Enjoy a range of benefits, including 100% employer-paid medical, dental, and vision premiums, 401k matching, flexible PTO, and equity for all employees.
Missions
- Assumer la responsabilité de l'ensemble du processus de gestion des données, de la compréhension des exigences des parties prenantes à la construction de pipelines et à la validation des métriques.
- Concevoir et développer des modèles de données fiables et bien structurés qui alimentent l'analyse, le reporting et les outils basés sur l'IA.
- Collaborer étroitement avec les équipes de science des données, d'ingénierie ML, de produit et d'analyse pour traduire les questions commerciales en solutions de données évolutives.
Profil recherché
- Cross-Functional Collaboration: Experience working with Data Scientists, ML Engineers, analysts, and business stakeholders to understand requirements and deliver reliable data products- Analytics Engineering Fundamentals: Strong SQL skills and experience designing dimensional data models, defining business metrics, and building datasets that support complex analytical questions
- Semantic Modeling: Understanding of semantic layers, metric definitions, and how to structure data so that business logic is reusable, consistent, and interpretable across multiple datasets
- AI-Native Development: Experience using agentic coding tools (Cursor, Codex, Claude Code or similar) as a core part of your daily work
- Data Engineering Experience: Experience turning raw, high-volume event data into reliable production datasets, including applying business logic, building and maintaining transformations, and validating data quality in a modern cloud warehouse with orchestration tools like Airflow
- Have experience working with Snowflake, Airflow, dbt, or comparable data transformation and orchestration technologies
- Enjoy taking ownership of ambiguous problems, working directly with stakeholders, and building solutions that have measurable business impact
- Are interested in how LLMs and AI agents can transform the way organizations discover, understand, and analyze data
- Have built or contributed to semantic layers using tools such as Looker, dbt Semantic Layer, or similar frameworks