Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Data Engineer to design, build, and maintain the robust data pipelines and infrastructure necessary to support our ML model training, deployment, and analysis workflows. The ideal candidate has a strong foundation in data engineering, understands the unique challenges of scientific data, and is eager to work closely with both Machine Learning Engineers (MLE) and Chemists.