
Job description
Self-motivated engineer with a solid understanding of modern data ecosystems, responsible for designing and delivering optimized data-driven systems. Thrives in dynamic environments with strong technical foundations and adaptability.
Design and deliver data-driven systems, develop and maintain data pipelines, integrate diverse data sources, implement data orchestration, and apply best practices in data modeling and ETL/ELT design.
Requires someone with 2-5 years of hands-on experience in data engineering, proven ability to build and deploy data systems, and a commitment to continuous learning and innovation.
Company

Tech, Software & IT Services
NucleusTeq is a global software services, solutions, and products company headquartered in Phoenix, Arizona, that empowers Fortune 100 enterprises with AI‑driven innovation, scalable architectures, and end‑to‑end data transformation. The company specializes in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation, delivering end‑to‑end data strategy, big‑data analytics, and cloud‑native platforms. Its proprietary NuoData platform unifies AI‑powered data cataloging, real‑time pipelines, and enterprise AI frameworks, enabling seamless migration, governance, and observability across complex data ecosystems. By combining advanced AI capabilities with a modular, secure, and compliant architecture, NucleusTeq distinguishes itself as a one‑stop partner for enterprises seeking to accelerate digital transformation and achieve measurable business growth.