Principal Data Engineer
New York, New York; San Francisco, California
USD 192K-275K Senior-level Full Time Found 2d ago
Tasks
- Collaborate with data scientists and product teams
- Define data architecture vision
- Document data flows and architecture
- Establish data quality and monitoring frameworks
- Establish data reliability standards
- Lead large-scale design initiatives
- Mentor and guide engineers
- Partner with cross-functional teams
- Recruit and onboard data talent
- Resolve complex production issues
- Stay updated on data tools and technologies
Perks/Benefits
Skills/Tech-stack
Airflow | Beam | BigQuery | CI/CD | Cloud Platforms | Containerization | Data Governance | Data Lineage | Data Modeling | Data Quality | Databricks | ELT | ETL | Flink | Infrastructure as Code | Kafka | Kinesis | Metadata | Python | SQL | Snowflake | Spark | Streaming Data | “as-code”
Education
Roles
Regions
Countries
States
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