Backend Data Engineer
Hybrid Worker - USA -Dallas or Memphis Area
R
USD 140K-180K (estimate) Senior-level Full Time
Tasks
- Architect backend services for data flow and transformation
- Design event driven architectures with Apache Kafka
- Develop type safe TypeScript services and APIs
- Implement partitioning and vacuuming strategies
- Integrate backend systems with CRM and ERP platforms
- Model PostgreSQL schemas and indexes
- Optimize stream processing and reliable messaging
- Perform code reviews troubleshooting mentoring and knowledge sharing
- Support enterprise integrations and scalable architecture decisions
- Tune PostgreSQL performance and query execution plans
Perks/Benefits
- Collaborative engineering culture
- Comprehensive benefits package
- Hybrid work environment
- Mentorship opportunities
Skills/Tech-stack
Agile | Apache Kafka | CI/CD | CRM Integration | Data access | Database performance | Database performance tuning | Distributed Systems | Docker | ERP integration | Enterprise Integration | Event Driven | Event-driven architecture | Execution Plans | Git | Indexing | Kafka Streams | Kubernetes | Low Latency | Low Latency Data Access | Low-latency data | Node.js | Partitioning | Performance Tuning | PostgreSQL | Query Execution | Query execution plans | REST APIs | Salesforce | Schema Design | Scrum | TypeScript | Vacuuming
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
Backend | Backend & Data Engineer | Data Engineer | Engineer
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