Data Engineer
Cary, North Carolina, United States
USD 75K-111K (estimate) Mid-level Full Time
Tasks
- Build and operate data architecture
- Contribute to testing deployment and documentation
- Deliver clean datasets for analytics and machine learning
- Design scalable data pipelines and workflows
- Implement monitoring to improve observability and performance
- Improve data architecture ingestion storage access
- Monitor data workflows and resolve pipeline failures
- Optimize pipelines for reliability scalability cost efficiency
- Translate fraud and risk requirements into data solutions
- Write maintainable code and participate in code reviews
Perks/Benefits
- Career development
- Flexible time off
- Health insurance
- Hybrid work
- Mentoring programs
- Paid parental leave
Skills/Tech-stack
Apache Airflow | CI/CD | DBT | Data Modeling | Data Processing | Data Transformation | Data Warehousing | Data orchestration | Data replication | Distributed data | Distributed data processing | Docker | Git | Kafka | Kubernetes | Observability | PostgreSQL | Python | SQL | SQL Server | Snowflake | Terraform | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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