Staff Data Engineer (High-Performance Data Systems)

Quick Facts

• Enterprise data architecture and compute infrastructure for a new platform
• Hands-on role combining scalable data ownership with low-latency analytical processing
• B2B contract; remote work
• Tech focus: PostgreSQL, SQL, Apache DataFusion, Apache Arrow, Rust

Description

Design and develop an enterprise-grade data platform architecture and high-performance compute layer from scratch. You will optimize PostgreSQL for transactional and analytical workloads, build a reusable query execution engine, and create semantic views and SQL extensions for complex financial computations. The role also includes defining standards for correctness, data versioning, lineage, auditability, observability, and production reliability.

Responsibilities

• Design and develop data modeling, schemas, storage strategies, and support for transactional + analytical workloads
• Define data processing architecture (batch vs real-time), ensuring low latency and horizontal scalability
• Design and optimize PostgreSQL and analytics data infrastructure (query performance, indexing, storage/memory tuning)
• Build and evolve a compute/query execution engine with non-standard execution and reusable transformations
• Create semantic views, SQL extensions, and a persistent catalog for data definitions and complex financial calculations
• Integrate external data sources and third-party applications, including CSV/Parquet data and AI/ML systems
• Establish standards for numerical correctness, data versioning, schema migrations, data lineage, auditability, observability, and production reliability

Requirements

• Proven experience building data infrastructure, databases, analytics platforms, or high-performance data systems
• Strong SQL and PostgreSQL expertise (query planning/optimization, indexing, transaction consistency)
• Solid understanding of data architecture and data modeling, including transactional vs analytical processing
• Experience with large-scale data volumes, complex computations, and low-latency systems
• Ability to use AI coding agents effectively and produce production-grade code
• Hands-on approach with willingness to make key architectural decisions
• High standards for correctness, reliability, testing, and maintainability
• Rust proficiency (concurrency, async, memory management, performance optimization)

Benefits

• B2B agreement with flexible collaboration
• Build from scratch with no legacy-code maintenance/repair
• High autonomy and decision impact on final architecture and technologies
• Stability via independent, secure financing to focus on innovation