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Staff Software Engineer, Query Engine – Rust
Komodo Health. Design, build, and optimize Burrow’s distributed query execution, indexing, and storage layers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing distributed query execution and storage systems, with a strong focus on high-performance data processing for large-scale healthcare datasets. Proven ability to lead complex initiatives, mentor engineers, and communicate technical decisions effectively across teams.
Highest-signal resume keywords
Rust ProgrammingHigh-Performance Systems CodeData Model DesignDistributed Systems ProfilingAI/ML Infrastructure Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonDuckDBSparkErlangC++ParquetArrowIndexingQuery Planning
Soft Skills
Technical CommunicationMentoringLeadership
Tools & Technologies
ChatGPTGeminiCursorClaudePinotDruidClickHouseDataFusionTrino
Industry Keywords
Healthcare DataData ArchitectureWarehouse MigrationsAI WorkflowsHigh-Volume Data Environments
Tech Stack
Tools & technologiesDistributed SystemsErlangPythonRustSparkSQLC++
About the role
Key responsibilities & impact- Design, build, and optimize Burrow’s distributed query execution, indexing, and storage layers
- Design query APIs, semantic layers, and serving patterns for AI products and agents
- Build high-performance data processing and serving systems for large-scale healthcare datasets using Rust, SQL, Python, DuckDB, or Spark
- Expand Burrow to support provider data and new query types
- Partner with upstream data engineering, product, platform, data science, quality, application, and Labs@Komodo teams
- Lead complex, multi-quarter initiatives and make trade-offs across performance, scalability, cost, reliability, and delivery
- Implement data quality checks, validation, observability, lineage, monitoring, and alerting
- Improve engine latency, throughput, query cost, reliability, failure handling, and operational readiness
- Lead migration of legacy query workloads onto Burrow without customer disruption
- Mentor engineers and raise standards for system design, code quality, testing, CI/CD, documentation, and AI-augmented workflows
Requirements
What you’ll need- Experience writing high-performance systems code in Rust, Erlang, or C++
- End-to-end ownership of services, including production operations
- Deep knowledge of analytical engine internals, including Parquet, Arrow, indexing, pruning, compression, compaction, query planning, and execution
- Experience building on or extending Pinot, Druid, ClickHouse, DuckDB, DataFusion, or Trino
- Ability to design data models, serving patterns, platform components, and architectures for complex, high-volume data environments
- Track record of setting technical direction across teams and driving multi-quarter architecture decisions
- Experience building query or serving infrastructure consumed by AI/ML systems, LLM-driven products, or high-volume real-time traffic
- Experience profiling and tuning distributed systems across memory, CPU, I/O, NVMe, caching, partitioning, and failure handling
- Ability to communicate technical decisions and trade-offs clearly to technical and senior stakeholders
- Hands-on use of AI tools such as ChatGPT, Gemini, Cursor, or Claude
- Healthcare data experience, warehouse migrations, high-scale data architecture, applied AI workflows, and fast-growth execution are nice to have
Benefits
Comp & perks- Performance-based bonuses may be available
- Equity awards may be available
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance
- Life insurance
- Leaves of absence in accordance with applicable laws and company policy
- Remote or hybrid work options
- In-office flexibility for hub-based employees