Principal Data Engineer - AI
Pennsylvania-Remote, United States
R
USD 147K-198K (estimate) Senior-level Full Time
Tasks
- Architect storage and processing layers
- Build ETL/ELT pipelines
- Collaborate on data models and metrics
- Develop scalable data pipelines
- Engineer feature context pipelines
- Evaluate and adopt modern data stack tools
- Implement data quality frameworks
- Lead data architecture design deployment
- Optimize distributed queries and transformations
Perks/Benefits
Skills/Tech-stack
Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Flink | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | Dagster | Data Governance | Data Lakes | Data Warehousing | Databricks | Delta Lake | Distributed file systems | Document Databases | ELT | ETL | File systems | Google BigQuery | Hadoop | Infrastructure as Code | Message Brokers | NoSQL | Python | Real Time | Real-time Streaming | SQL | Snowflake | Vector Databases | Workflow Orchestration | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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