Data Engineer - Materials Discovery Research Institute
Skokie, IL On-site
$81,456–$112,003 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We have an exciting opportunity for a Data Enginee r at UL Research Institutes , based in our Skokie, Illinois office. This is an onsite opportunity. The Data Engineer role within Materials Discovery focuses on building, maintaining, and supporting reliable data pipelines, data models, and data platforms that enable analytics and machine learning across the institute. The position applies core data engineering practices while contributing selectively to applied data science tasks such as problem definition, data sourcing and preparation, exploratory analysis, and model development. Working closely with data scientists, researchers, senior technical team members, this role plays a key part in onboarding and integrating Engineering‑generated data into Materials Discovery data infrastructure. The position contributes to architectural and tooling decisions and helps ensure data is well‑structured, accessible, and fit for downstream analytical and modeling workflows.
What you'll bring
- Demonstrated experience owning and evolving data platforms or systems end‑to‑end.
- Strong proficiency in SQL and Python, including experience with data analysis and machine learning libraries (e.g., pandas, NumPy, scikit‑learn, PyTorch, TensorFlow).
- Experience with cloud platforms such as Azure, AWS, or Google Cloud and associated data and analytics services.
- Familiarity with infrastructure‑as‑code and containerization (e.g., Terraform, Docker, Kubernetes).
- Experience with data integration, orchestration tools, and distributed processing frameworks (e.g., Apache Spark, Azure Databricks, Azure Data Factory).
- Solid understanding of machine learning fundamentals, feature engineering, evaluation techniques, and experiment reproducibility.
- Knowledge of data governance, security, privacy, and compliance best practices.
- Strong communication, problem‑solving, and technical judgment skills, with the ability to adapt messaging for technical and non‑technical audiences.
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent combination of education and experience.
- Minimum 4 years of experience in a data engineering, analytics engineering, or closely related role.
- Demonstrated experience supporting or developing machine learning, statistical