Data Engineer II

Primary Role Responsibilities:

• Develop and maintain data ingestion and transformation pipelines across on-premise and cloud platforms.
• Develop scalable ETL/ELT pipelines that integrate data from a variety of sources (i.e. form-based entries, SQL databases, Snowflake, SharePoint).
• Collaborate with data scientists, data analysts, simulation engineers and IT personnel to deliver data engineering and predictive data analytics projects.
• Implement data quality checks, logging, and monitoring to ensure reliable operations.
• Follow and maintain data versioning, schema evolution, and governance controls and guidelines.
• Help administer Snowflake environments for cloud analytics.
• Work with more senior staff to improve solution architectures and automation.
• Stay updated with the latest data engineering technologies and trends.
• Participate in code reviews and knowledge sharing sessions.
• Participate in and plan new data projects that impact business and technical domains.

Required Qualifications:

• Bachelors or masters degree in computer science, data engineering, or related field.
• 1-3 years of experience in data engineering, ETL/ELT development, and/or backend software engineering.
• Demonstrated expertise in Python and SQL.
• Demonstrated experience working with data lakes and/or data warehouses (e.g. Snowflake, Databricks, or similar)
• Familiarity with source control and development practices (e.g Git, Azure DevOps)
• Strong problem-solving skills and eagerness to work with cross-functional globalized teams.

Preferred Qualifications:

Required qualification plus

• Working experience and knowledge of scientific and R&D workflows, including simulation data and LIMS systems.
• Demonstrated ability to balance operational support and longer-term project contributions.
• Experience with Java
• Strong communication and presentation skills.
• Motivated and self-driven learner