Team Lead, Data Engineer – Java, GCP, Big Data, SQL

Job not on LinkedIn

🕒 June 18

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NucleusTeq

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

NucleusTeq is a software services, solutions, and products company that empowers and transforms businesses worldwide, particularly Fortune 1000 clients, through a wide array of digital technologies. The company specializes in enterprise data transformation, cloud adoption, big data analytics, AI and ML services, enterprise automation using RPA, blockchain solutions, and the development of CRM and ERP systems. NucleusTeq is recognized as one of the top big data consulting companies in the US and operates multiple innovation labs and global delivery centers. With a focus on unleashing efficiency and accelerating innovation, NucleusTeq provides comprehensive solutions tailored for major industries, including finance, healthcare, and manufacturing, aiming to optimize operations and drive measurable results.

📋 Description

• Design and architect scalable, high-performance data solutions • Lead and mentor a team of data engineers • Build and optimize large-scale data pipelines • Drive architectural decisions and technical strategy • Ensure data quality, governance, and security best practices • Collaborate with cross-functional teams for end-to-end delivery

🎯 Requirements

• Strong hands-on experience in Java • Strong expertise in SQL and Big Data technologies • Hands-on experience with Google Cloud Platform (GCP) • Experience with Apache Airflow for workflow orchestration • Strong understanding of distributed systems and data architecture • Experience in CI/CD pipelines (mandatory) • Experience in data warehousing and ETL processes • Excellent leadership and stakeholder management skills

🏖️ Benefits

• Work on cutting-edge cloud data projects • Leadership opportunity with high ownership • Dynamic and growth-oriented work environment