Data Engineer, PART DataOps

We are looking for a strong Data Engineer with a passion for building intuitive web applications that solve real-world business problems. This role is at the intersection of data engineering, software development, and financial process optimization. You will be responsible for designing, building, and deploying lightweight web interfaces and data tools – primarily using Python frameworks like Streamlit – to streamline financial analysis, reporting, and decision-making. Success in this role requires an individual who can quickly understand complex financial processes, translate those processes into technical specifications, and deliver high-quality, user-friendly data applications. You’ll be a key collaborator with financial analysts, data scientists, and other engineers, building trust through clear communication and impactful solutions. Responsibilities include collaborating with financial analysts, designing and deploying web applications, writing clean Python code, connecting applications to data sources, implementing error handling, managing the application lifecycle, gathering user feedback, integrating analytical models, contributing to best practices, and documenting applications.