Specialist - Data Engineering
USD 120K-160K (estimate) Senior-level Full Time
Tasks
- Build data ingestion and ETL workflows
- Deploy and maintain applications in cloud environments
- Develop automation for testing and quality assurance
- Develop data processing pipelines
- Implement secure credential handling
- Lead architectural decisions and code reviews
- Perform application security scanning and remediation
- Provide production support for data pipelines
- Transform and move data across platforms
Perks/Benefits
- 401k match
- Dental insurance
- Employee stock purchase plan
- Health insurance
- Hybrid remote work
- Paid parental leave
- Paid vacation
- Sabbatical
- Tuition reimbursement
- Vision insurance
- Volunteering time
Skills/Tech-stack
.NET | Amazon S3 | Angular | BigQuery | C Sharp | Cloud Foundry | Cloud Storage | Cloud platform | Cloud services | Data Pipelines | ETL | Flask | Git | GitHub Copilot | Google Cloud | Google Cloud Platform | Hive | Informatica Intelligent Cloud | Informatica Intelligent Cloud Services | Intelligent Cloud Services | Linux | Microsoft SQL | Microsoft SQL Server | Oracle | Pivotal Cloud | Pivotal Cloud Foundry | Python | RESTful APIs | SQL | SQL Server | Safeguard | Unix | Unix Shell | Veracode
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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