Data Platform Engineer
Washington, District of Columbia, United States
USD 132K-165K (estimate) Senior-level Full Time
Tasks
- Build reusable CI CD templates
- Collaborate with data architects software developers and data scientists
- Design scalable cloud-native data platforms
- Develop ETL and ELT frameworks for batch and streaming
- Ensure data compliance
- Implement Infrastructure as Code for environment provisioning
- Implement data encryption
- Implement role-based access controls
- Integrate RESTful APIs
- Monitor platform performance and storage usage
- Optimize query responsiveness
- Track data lineage
Perks/Benefits
- 401k match
- Dental insurance
- Education reimbursement
- Long-term disability
- Medical insurance
- Parking benefits
- Pet insurance
- Short-term disability
- Transit benefits
- Vision insurance
Skills/Tech-stack
Access Control | Apache Airflow | Apache Kafka | Apache Spark | Batch Data Processing | Batch data | CI/CD | Dagster | Data Lakes | Data Lineage | Data Processing | Data Warehouses | Data encryption | Databricks | Distributed Databases | Distributed Storage | Docker | ELT | ETL | Infrastructure as Code | Java | Kubernetes | NoSQL | Python | REST APIs | Role-Based Access | Role-Based Access Control | SQL | Scala | Snowflake | Streaming Data | Streaming data processing | Terraform | “as-code”
Education
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
Regions
Countries
States
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