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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
Spark Performance Engineer - Data Engineer
Optimized Apache Spark jobs for large-scale data processing using Scala and PySpark. Enhanced data fusion processes with Rust for improved performance and reliability.
- Tuned Spark configurations for maximum throughput
- Developed Scala libraries for data transformation
- Implemented Rust-based plugins for data integration tasks
Software Engineer
Developed scalable microservices using Rust and FastAPI for data-intensive applications. Utilized Docker containers to streamline deployment processes across distributed systems.
- Built microservices with Rust and FastAPI
- Deployed applications using Docker
- Worked with SQL and NoSQL databases
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
Software Engineer / Data Engineer
Engineered high-performance data processing pipelines using Scala and Rust, focusing on real-time analytics. Designed and maintained distributed systems for large-scale data ingestion and processing.
- Built microservices architecture using Go and Java
- Integrated TypeScript for front-end data visualization
- Optimized C++ algorithms for data compression
Senior Technical Advisor
Led the development of high-performance systems programming projects using Rust and C. Designed scalable architectures for distributed systems, focusing on concurrency and fault tolerance.
- Developed JVM-based applications with Kotlin and Java
- Implemented functional programming solutions in Scala
- Optimized Python scripts for computational efficiency
Data Engineer
Designed and managed cloud-based data pipelines in AWS and Azure, focusing on data transformation and storage optimization. Developed ETL processes with Snowflake for robust data warehousing solutions.
- Implemented Java-based analytics tools for data insights
- Automated data workflows using JavaScript and TypeScript
- Optimized cloud resource usage for cost-effective data operations
Senior Systems & Database Kernel Engineer
Architected high-performance database kernels focusing on concurrency control and indexing optimizations. Developed secure cryptographic protocols for distributed systems to enhance data integrity and confidentiality.
- Implemented custom encryption algorithms for database security
- Designed scalable systems architecture for enterprise-level applications
- Optimized query execution in large-scale database environments
Senior Software Engineer
Engineered distributed systems on AWS and GCP, specializing in cloud-native database solutions. Led cross-functional teams to build scalable backend services using Rust.
- Optimized JavaScript applications for high-traffic environments
- Designed TypeScript modules for data visualization
- Implemented CI/CD pipelines for cloud deployments
Lead Engineer, Growth
Orchestrated the development of asynchronous Rust-based systems for scalable data processing. Enhanced growth metrics through data-driven engineering solutions.
- Implemented distributed systems with Go
- Automated deployment pipelines using Bash scripts
- Optimized SQL queries for large-scale databases
Protocol Engineer
Architected a high-availability distributed database system using Rust, focusing on fault tolerance and scalability. Developed a real-time analytics platform in Scala for processing petabyte-scale datasets. Spearheaded the design of a microservices framework in Go, enhancing modularity and deployment speed.
- Designed custom load balancing solutions for distributed systems
- Implemented security protocols in Rust for data protection
- Developed a high-performance networking library
Senior Data / Platform Engineer - Full-Stack Developer
Architected scalable data pipelines in Scala and Java for real-time analytics. Led the migration of monolithic platforms to microservices, improving deployment efficiency.
- Built distributed systems handling petabyte-scale data
- Optimized machine learning workflows with Python
- Developed cross-platform applications using Dart
Principal Backend Engineer
Led the design and deployment of scalable backend systems using Rust and Kafka for real-time data processing. Expert in building microservices architecture with a focus on high availability and resilience.
- Integrated Go and Python for cross-service communication
- Implemented C# modules for legacy system support
- Utilized SQL for complex data transformations
Software Engineer
Engineered distributed data processing systems using Rust and Kafka, optimized for real-time analytics. Developed extensive data pipelines for cloud-based platforms, leveraging BigQuery for large-scale data aggregation.
- Implemented microservices architecture using Scala and Java
- Enhanced data stream processing with Python scripting
- Built high-throughput messaging systems for enterprise applications
Senior Software Engineer
Developed data-intensive applications using Rust and Go, focusing on concurrency and parallelism. Built analytics tools in Python and R for real-time data insights.
- Implemented TypeScript for scalable front-end solutions
- Designed SQL databases for complex queries
- Optimized data processing pipelines for efficiency
Senior Software Engineer
Developed robust backend services using Rust for cloud-native applications. Integrated Nix-based deployment pipelines, ensuring reproducible builds and environments. Contributed to open-source projects focused on improving developer tooling in Rust.
- Created a TypeScript-to-Rust FFI for seamless integration
- Automated CI/CD workflows with GitHub Actions
- Enhanced API performance with custom caching strategies