Full Stack Data Engineer Miami Contract
Overview
We seek a skilled engineer to lead data integration pipelines and web applications for geospatial data. This role focuses on scaling solutions within a B&A context. The ideal candidate thrives in dynamic environments and contributes to impactful projects.
What You'll Do8
- 1Design and build scalable data pipelines using Spark and Airflow
- 2Develop RESTful and GraphQL APIs for data retrieval
- 3Implement CI/CD pipelines and containerized deployments in Kubernetes
- 4Optimize database queries for large geospatial datasets
- 5Integrate ESRI ArcGIS environments and Unity Catalog
- 6Manage API authentication for secure data access
- 7Drive technical vision for data visualization dashboards
- 8Collaborate with cross-functional teams to deliver solutions
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 2Minimum 5 years experience in full-stack development and data engineering
- 3Proficiency in Kubernetes and cloud-based data engineering
- 4Certification in AWS Certified Data Analytics – Specialty or similar
- 5Security clearance TS/SCI
Salary Insight
Salary not disclosed in listing
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