Data Engineer, Encounters Intelligence
Tasks
- Collaborate with product managers and stakeholders
- Communicate technical concepts to non-technical audiences
- Define customer problem statements
- Develop statistical approaches
- Document data schemas and usage guidelines
- Improve data quality and interpretability
- Lead feature and product development cycles
- Mentor junior data engineers
- Model and integrate heterogeneous data sources
- Transform raw data into data products
Perks/Benefits
- Flexible PTO
- Home office stipend
- Learning budget
- Optional team retreats
- Paid health, dental, vision
- Parental leave
- Remote work
- Work from home stipend
Skills/Tech-stack
BigQuery | Cloud Storage | DBT | Dagster | Data Modeling | Feature Engineering | Geospatial | Geospatial analysis | Google Cloud | Google Cloud Storage | Language Models | Large Language Models | Machine Learning | Python | SQL | Statistical modeling | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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