Data Engineer

4–7 years of combined experience and education in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related field. Hands-on experience building and maintaining ETL/ELT data pipelines and working with data warehouses, data lakes, or analytics platforms. Experience working with SQL and familiarity with performance tuning and optimization concepts. Exposure to data visualization or BI tools such as Tableau, Power BI, Superset, or similar. Strong Python development experience Familiarity with modern data tooling and workflows; experience using AI-assisted development tools is a plus. Strong written and verbal communication skills. Ability to work effectively in a collaborative, remote-first environment.

Build and maintain data pipelines for ingest, logging, validation, transformation, and secure data access. Contribute to the development and improvement of scalable ETL/ELT processes. Implement and evolve data models and storage patterns. Apply data quality checks, monitoring, and documentation. Collaborate with internal teams and clients to understand data requirements and support analytics use cases. Contribute to the ongoing development of Expression’s VOR Data Platform. Participate in research, prototypes, and proof-of-concept work to evaluate new data and analytics technologies. Follow established engineering practices and contribute ideas to improve reliability, performance, and developer experience.