SC Cleared Data Engineer

Design, build, and maintain scalable data pipelines, ETL processes, and data integrations. * Develop and optimize data models, storage solutions, and analytics environments. * Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products. * Implement visualizations that make complex datasets understandable for technical and non-technical users. * Work with cross-functional teams to translate product requirements into technical designs. * Ensure data quality, governance, and best practices across systems. * Contribute to the evolution of our design systems and front-end components for data tools.

Proven experience as a Data Engineer, BI Engineer, or similar role. * Strong proficiency in SQL, Python, and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). * Experience with cloud platforms such as AWS, Azure, or GCP. * Solid understanding of data warehousing and ETL/ELT architecture. * Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces. * Experience with front-end technologies (e.g., React, Vue, or similar) is a plus. * Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions).