Hire
Data Systems Rust Developers
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Built through years working with teams and engineers in the Rust ecosystem.
We specialize in systems programming, database internals, and performance-critical infrastructure.
Focused, relevant introductions from a curated network.
Available Developers
Staff Data Engineer
Designed large-scale data processing systems using Apache Spark and Scala. Implemented Rust-based services for real-time analytics on Databricks platform.
- Built ETL pipelines for structured and unstructured data
- Optimized SQL queries for performance in data warehouses
- Integrated Python scripts for data transformation tasks
Senior Software Engineer
Developed resilient backend systems using Rust and Elixir for cloud environments. Designed microservices architectures to enhance scalability and maintainability. Implemented data-intensive applications with advanced SQL optimizations.
- Developed resilient cloud backend systems
- Designed microservices architectures
- Implemented data-intensive applications
Senior Data Systems Engineer
- Led migration of monolithic system to microservices architecture
- Built high-throughput data pipeline processing 1M+ events per second
- Designed and implemented real-time monitoring and alerting platform
Senior Software Engineer
Architected distributed systems with a focus on scalability and high availability. Applied domain-driven design principles to streamline AI/ML application development.
- Led system analysis for enterprise-level applications
- Implemented event-driven architectures with Rust
- Optimized machine learning pipelines for performance
AI Senior Engineer
Architected large-scale machine learning pipelines for predictive analytics in finance. Developed custom ETL processes to handle terabytes of data efficiently.
- Built AI models for real-time fraud detection systems
- Designed distributed data processing frameworks using Scala
- Implemented feature engineering techniques for improving model accuracy
Tech Lead
Led development of distributed systems using NodeJs and Rust for real-time data processing. Implemented Kafka for event-driven architectures to handle high-throughput data streams. Utilized Redis for caching and fast data access.
- Integrated GitlabCI for automated testing and deployments
- Developed monitoring solutions with Kibana
- Optimized data flow with advanced queuing techniques
Staff Software Engineer
Architected scalable data processing systems with Scala and FS2 for large-scale analytics. Developed RESTful APIs using Http4s, ensuring high throughput and low latency.
- Led migration to cloud infrastructure using Kubernetes
- Enhanced data serialization with Circe for JSON processing
- Designed event-driven architectures using Kafka
Data Architect & Solutions Architect
Architected data solutions utilizing Rust and C++ for enterprise systems. Developed Python-based tools for data transformation and analysis.
- Implemented C# modules for cross-platform compatibility
- Optimized JavaScript interfaces for dynamic data visualization
- Utilized Kotlin for building mobile data applications
Software Engineer
Developed machine learning models for geospatial data analysis, leveraging advanced statistical methods. Implemented data pipelines to process large datasets efficiently using Python.
- Built geospatial data analysis models
- Implemented efficient data processing pipelines
- Applied advanced statistical modeling techniques
Full-Stack Engineer
Designed and implemented distributed systems for a high-traffic e-commerce platform using Rust and Scala. Optimized database query performance in SQL to handle millions of transactions per day.
- Built a real-time analytics pipeline in Python
- Developed microservices architecture with Java
- Automated CI/CD pipelines using Bash scripts
Fullstack Engineer (Tech Lead)
Led full-stack development projects using Rust and TypeScript for modern web applications. Designed scalable RESTful APIs and integrated SQL databases for backend services.
- Implemented Go-based microservices architecture
- Developed data visualization tools using R
- Optimized Python scripts for data analysis
Senior Software Engineer
Architected large-scale microservices using REST, GraphQL, and gRPC for diverse applications. Spearheaded API design to support high-traffic environments and ensure efficient data flow. Led system design initiatives for cross-platform integration.
- Implemented GraphQL for dynamic query handling in complex systems
- Redesigned legacy systems for improved scalability and maintainability
- Conducted performance tuning for gRPC services in cloud environments
Staff Software Engineer
Engineered distributed systems with Scala and Rust, focusing on fault tolerance and scalability. Applied functional programming techniques to simplify complex algorithms.
- Designed domain-driven architectures
- Optimized Python applications for performance
- Developed real-time data streaming solutions
Founder - Tech Lead
Led development of distributed systems using Rust and Java, focusing on high concurrency. Spearheaded integration testing frameworks in Python to enhance system reliability.
- Built distributed systems in Rust and Java
- Focused on high concurrency solutions
- Led Python integration testing frameworks
Senior Software Engineer
Developed a large-scale distributed ledger system utilizing Rust for high-throughput transaction processing. Built microservices architecture for a real-time analytics platform, integrating Java and Go for data ingestion and processing. Designed fault-tolerant distributed databases, ensuring low-latency data retrieval across multiple regions.
- Optimized SQL queries for high-performance data access
- Implemented event-driven architecture in Python
- Enhanced distributed caching mechanisms in Go