Principal Data Engineer/ Technical Lead
Tasks
- Architect and scale MongoDB multi tenant ecosystem
- Architect real-time and batch data pipelines
- Build custom ODMs and query translation engines
- Build microservices and internal libraries
- Design and implement data access layers
- Design hybrid operational transactional and analytical data architectures
- Design schemas and declarative models for data integrity
- Develop storage agnostic middleware
- Implement GraphQL services
- Integrate relational and NoSQL data transformation pipelines
- Optimize query performance using execution plan analysis
- Perform code reviews and guide professional growth
- Provide technical direction and mentorship
- Standardize data interaction patterns and API performance
- Translate business requirements into technical specifications
Perks/Benefits
- 401k match
- Employer paid medical/dental/vision
- Flexible spending account
- Paid parental leave
- Remote first work from home
- Student loan payback program
- Subsidized ClassPass
- Unlimited PTO
- WFH setup stipend
Skills/Tech-stack
AWS | Access Layer | Aggregation pipelines | Apache Kafka | Apache Spark | Atlas Search | Azure | BSON | BSON Modeling | Containerization | Data Architecture | Data access | Data access layer | Distributed Systems | Docker | Driven systems | Elasticsearch | Execution Plans | Go | Google Cloud | GraphQL | High Availability | Hybrid Data Architecture | Java | JavaScript | Kubernetes | Lucene | Metadata Driven | Metadata driven systems | Microservices | MongoDB | MongoDB Aggregation Pipelines | MongoDB aggregation | Multi-tenancy | NoSQL | Node.js | ODM | PostgreSQL | Python | Query Optimization | Redis | Replica Sets | SQL | SQL to NoSQL | SQL to NoSQL Translation | Sharding
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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