Data Engineer
USD 133K-178K (estimate) Senior-level Full Time
Tasks
- Apply FinOps practices
- Build data pipelines using AWS services
- Create REST APIs and web services
- Design cloud native data engineering solutions
- Design data architectures and managed data stores
- Develop ETL and data ingestion workflows
- Enable data discovery and search
- Gather requirements evaluate data sources document decisions
- Implement Zero Trust and NIST security controls
- Implement monitoring, alerting, and self-healing
- Integrate structured and unstructured data
- Manage identity access and encryption
- Support AI ML infrastructure and RAG
- Support security assessments and compliance documentation
Perks/Benefits
- N/A
Skills/Tech-stack
800-53 | AWS | AWS Budgets | AWS Certificate Manager | AWS CloudTrail | AWS Cost Explorer | AWS Cost and Usage Reports | AWS Glue | AWS Glue Data Catalog | AWS Glue DataBrew | AWS Lake | AWS Lake Formation | AWS Security | AWS Security Hub | Amazon Athena | Amazon Aurora | Amazon CloudWatch | Amazon DynamoDB | Amazon GuardDuty | Amazon KMS | Amazon Kendra | Amazon Kinesis | Amazon OpenSearch | Amazon OpenSearch Service | Amazon QuickSight | Amazon RDS | Amazon Redshift | Amazon SageMaker | Amazon SageMaker Studio | Certificate Manager | Cost Explorer | Cost and Usage Reports | Data Catalog | ETL | Encryption | FinOps | Glue Data Catalog | IAM | Jupyter | LLM | Lake Formation | NIST SP | NIST SP 800 | NIST SP 800-53 | Network Segmentation | OpenSearch Service | Python | RAG | REST APIs | SP 800-53 | Sagemaker Studio | Security Hub | Usage reports | Zero Trust
Education
Roles
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