Data Engineer II

What you'll do

• Implements and manages data ingestion, integration, storage, and processing workflows.
• Develops complex data transformations and models independently, ensuring alignment with standards.
• Ensures data quality through validation practices, troubleshooting issues, and maintaining metadata accuracy.
• Proactively monitors data pipelines to troubleshoot and resolve operational issues for system performance.
• Applies security controls and implements infrastructure processes to ensure compliant data solutions.

What we're looking for

• 5+ years of hands-on experience in data management or engineering, including data integration and optimization.
• Strong knowledge of modern data platforms and storage solutions for designing and optimizing complex data systems.
• Expertise in developing and managing ETL/ELT workflows using standard frameworks and tooling.
• Advanced proficiency in SQL and scripting languages like Python for data processing and automation.
• Applied understanding of data modeling, transformation, and visualization to support scalable analytics solutions.
• Ability to independently apply data quality, governance, and security practices according to established standards.
• Effective collaboration with Product, IT, and business stakeholders to align technical solutions with business goals.