Senior Data Engineer
Orlando, FL, United States
USD 170K-215K (estimate) Senior-level Full Time
Tasks
- Architect data solutions across cloud data platforms
- Build containerized pipeline jobs with scheduling and event triggers
- Collaborate with analytics and BI teams to deliver data models
- Conduct code reviews and testing to ensure engineering best practices
- Design and build scalable data pipelines
- Develop Python ETL and ELT pipelines
- Implement Medallion layered data architecture
- Implement infrastructure as code with version control
- Implement logging alerting and retry logic for pipelines
- Maintain technical documentation and runbooks
- Manage data movement between on premises and cloud targets
- Mentor junior engineers and share knowledge
- Monitor platform health optimize costs and enforce data governance
Perks/Benefits
- 401k match
- Company paid life insurance
- Dental insurance
- Health insurance
- Holiday pay
- Long-term disability
- Prescription insurance
- Short-term disability
- Sick pay
- Training opportunities
- Vacation pay
- Vision insurance
- Wellness rewards
Skills/Tech-stack
ANSI SQL | AWS S3 | Amazon Redshift | Azure Container | Azure Container Apps | Azure Container Apps Jobs | Azure Container Registry | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure SQL | Azure SQL Database | Bicep | CD pipeline | CI/CD | CI/CD Pipeline | Container Registry | DBT | Data Factory | Data Governance | Data Lake Storage | Data Security | Dimensional Modeling | Docker | Docker Image | Entity Relationship Modeling | Entity relationship | Event Hub | Git | GitHub Actions | Infrastructure as Code | Kafka | Key Vault | Kinesis | Microsoft Fabric | Power BI | Python | Relationship Modeling | SQL Database | SQL Server | Snowflake Schema | Star Schema | T-SQL | Tableau | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Information Systems | Bachelor of Science | Master of Science
Roles
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