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
- Design scalable data architectures
- Develop ETL/ELT workflows
- Ensure data integrity governance privacy compliance
- Implement dimensional data models
- Instrument APIs and user journeys for data capture
- Maintain data reliability and availability
- Participate in rotating on-call
- Standardize business metrics
Perks/Benefits
- N/A
Skills/Tech-stack
API Instrumentation | AWS | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Apache Superset | Azure | CI/CD | Cloud platform | Data Modeling | Data Observability | Databricks | Fine Tuning | Fintech | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Lakehouse | Language Models | Large Language Models | MLOps | Near-real-time | OLAP | Prompt engineering | Python | Real Time | Retrieval-Augmented Generation | SQL | Scala | Snowflake | Tableau | Trino | Wallet Payments | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
Regions
Countries
States
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