Principal Analytics Engineer
Elastic · United States · Marketing Operations
About this role
Elastic is hiring a staff-level Analytics Engineer in the data engineering function based in United States. The posting calls out experience with Elasticsearch, BigQuery, dbt, LLMs. Compensation is listed at $159,800–$252,800 per year.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- United States
- Department
- Marketing Operations
More roles at Elastic
Job description
from Elastic careersElastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
Our Marketing organization is building an AI-powered intelligence system to drive strategy, insights, and revenue. We are looking for a Principal Analytics Engineer to lead the design and build of this foundation. This role is about more than just writing code—it’s about creating the semantic blueprint for how Elastic understands and interacts with its business data.
You will synthesize complex data streams into a unified, high-fidelity system that serves as the "source of truth" for the entire customer journey. By engineering a structured knowledge layer, you will enable Elastic to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.