Senior Data Engineer
Job Description
Experis is hiring a Senior Data Engineer for its Data & Analytics department in Hanover, NJ (onsite). This role supports cross-functional teams by delivering scalable data platforms that help power batch and real-time analytics. You will work with modern data engineering tools and contribute to enterprise data lakes, warehouses, and marts.
What you’ll be doing
- Design, develop, and maintain scalable and reliable data pipelines for both batch and real-time processing.
- Build and manage enterprise data lakes, data warehouses, and data marts.
- Develop ETL/ELT solutions using modern data engineering tools and frameworks.
- Partner with business stakeholders, architects, analysts, and data scientists to clarify and deliver on data requirements.
- Optimize data processing workflows for performance, scalability, and cost efficiency.
What you bring
- Strong experience designing and building large-scale data platforms.
- Expertise in data warehousing and dimensional modeling.
- Experience with ETL/ELT design and implementation.
- Strong understanding of data governance, metadata management, and data quality frameworks.
- Advanced proficiency in Python and SQL.
Tools you’ll use
- Python
- SQL
Why this role
- Opportunity to work on innovative data projects using cutting-edge technologies.
- Collaboration with a diverse and talented team focused on excellence.
- Gain valuable experience in a dynamic and supportive environment.
- Potential for career growth and professional development.
- Travel coverage provided if relocation or onsite visits are required.