If building scalable data infrastructure excites you, this is the place to be. Fornax is a team of cross-functional individuals who solve critical business challenges using analytics and innovative data solutions.
We are seeking a skilled Data Engineer to work on our cutting-edge data product.
The ideal candidate will possess strong technical expertise in modern data stack technologies and a passion for building robust, scalable data platforms.
The Data Engineer will play a critical role in architecting, developing, and maintaining our data product infrastructure. This role involves working closely with data scientists, analytics engineers, and product stakeholders to build high-performance data pipelines, optimize query performance, and deliver reliable data solutions. The ideal candidate has a strong background in data engineering, distributed systems, and contemporary data tooling.
Key Responsibilities
Data Infrastructure & Pipeline Development (50%)
Design, build, and maintain scalable data pipelines using Prefect for orchestration and workflow management
Implement ELT processes using Dlthub to efficiently load data from various sources into the data platform
Develop and optimize data transformation workflows using DBT to ensure clean, modeled, and business-ready datasets
Build and manage Apache Iceberg table formats to enable efficient data lakehouse operations with ACID transactions
Leverage DuckDB for fast local analytics, development testing, and embedded analytical workloads
Ensure data pipeline reliability, monitoring, and error handling with comprehensive logging and alerting mechanisms