Data Foundations Engineer
Austin, Texas, United States; San Jose, California, United States
USD 119K-198K Senior-level Full Time
Tasks
- Build batch and near real time data pipelines
- Contribute to operational data quality improvements
- Design scalable data architectures
- Develop ETL/ELT workflows
- Ensure data integrity governance privacy compliance
- Implement dimensional data models
- Instrument APIs and user journeys
- Maintain reliability and availability
- Participate in on-call rotations
- Standardize business metrics
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Data Lakehouse | Data Modeling | Data Observability | Databricks | Dimensional Modeling | Fine Tuning | GenAI | Google Cloud | Google Cloud Platform | Iceberg | Infrastructure as Code | Java | Language Models | Large Language Models | MLOps | OLAP | Prompt engineering | Python | RAG | SQL | Scala | Snowflake | Trino | “as-code”
Education
N/A
Roles
Regions
Countries
States
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