Senior Data Engineer
Tasks
- Build ETL/ELT pipelines
- Build reporting analytics and dashboards
- Collaborate with architects engineers analysts and stakeholders
- Create metadata driven automation for data governance
- Design and develop enterprise data warehouses
- Design data models, schemas, and database structures
- Ensure secure data management and compliance
- Implement data ingestion and transformation frameworks
- Implement data quality validation and lineage tracking
- Implement infrastructure-as-code and CI/CD pipelines
- Modernize legacy data environments
- Optimize cloud data processing solutions
- Perform database tuning and query optimization
- Provide technical leadership and mentorship
- Support AI ML initiatives with scalable data engineering
Perks/Benefits
- 401k employer match
- Dental insurance
- Health insurance
- Paid time off
- Professional development opportunities
- Public trust clearance eligible to obtain and retain
- Remote work
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Azure DevOps | Azure Synapse | Cloud Data | Cloud Data Platforms | DBT | Data Governance | Data Integrity | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data platforms | Database Design | Databricks | Dimensional Modeling | Distributed Processing | Docker | ELT | ETL | Git | Google Cloud | Hadoop | Informatica | Jenkins | Kafka | Kubernetes | Metadata Management | NumPy | Oracle | Pandas | PostgreSQL | Power BI | PySpark | Python | REST APIs | SQL | SQL Server | SSIS | Tableau | Terraform
Roles
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