Staff Data Engineer
Oklahoma City, OK, USA
USD 120K-154K (estimate) Senior-level Full Time
Tasks
- Architect and implement data integration solutions
- Design build maintain scalable data pipelines
- Develop and optimize ETL and ELT workflows
- Develop disaster recovery procedures
- Establish data quality validation and governance
- Evaluate and recommend data engineering tools and best practices
- Lead capacity planning for infrastructure scaling
- Maintain technical documentation
- Mentor engineers and provide technical guidance
- Model and design scalable data systems
- Monitor pipeline and system performance
- Resolve bottlenecks failures and inefficiencies
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS RDS | Apache Airflow | Automation | Azure | Azure Data | Azure Data Factory | Azure SQL | Azure SQL Database | Capacity Planning | Cloud Native | Cloud Native Data | Cloud SQL | Cloud platform | Cloud-native data services | Cybersecurity | DBT | Data Factory | Data Governance | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Services | Data Warehousing | Data integration | Databricks | Disaster Recovery | Distributed data | Distributed data processing | ELT | ERP | ETL | Google Cloud | Google Cloud Platform | Google Cloud SQL | Hadoop | IAM | Microsoft Entra | Microsoft Fabric | Performance Monitoring | Power BI | Python | SCADA | SQL | SQL Database | Snowflake | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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