Manager, Data Engineering
Remote, United States
R
USD 130K-166K (estimate) Senior-level Full Time
Tasks
- Conduct performance reviews and career development
- Contribute to data platform architecture improvements
- Coordinate cross functional requests and align priorities
- Define and enforce SLAs for data freshness quality and availability
- Design, build, and maintain data pipelines
- Develop and maintain data models and business logic
- Document data lineage and transformation logic
- Establish engineering best practices for code review and release management
- Implement automated testing and data observability
- Implement data retention policies PII handling and audit logging
- Implement data transformations with dbt
- Implement data validation frameworks
- Lead data migration planning mapping execution and validation
- Lead day to day operations for data engineering team
- Lead interviews candidate evaluation and onboarding
- Manage project timelines and cross functional dependencies
- Mentor and coach engineers on design implementation and debugging
- Operationalize data governance framework
- Own ETL and ELT implementation in Snowflake
- Support security audits and compliance reviews
- Translate business logic into reusable data models
- Translate data engineering roadmap into delivery plans
Perks/Benefits
Skills/Tech-stack
AWS | Access Controls | Apache Airflow | Audit Logging | Azure | Azure Event | Azure Event Hubs | Batch Processing | CCPA | DBT | Data Cataloging | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Validation | Data Warehousing | Distributed Systems | ELT | ETL | Event Hubs | GDPR | Lambda | PII handling | Python | S3 | SOC 2 | SQL | Snowflake | Spark | Streaming processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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