
B2B • Cybersecurity • Healthcare
QTM (Quantum Talent Management) is a dynamic staffing and consulting firm that specializes in empowering organizations with expert talent across various sectors, including technology, healthcare, engineering, and finance. Since its inception, QTM has evolved from a traditional IT placement company to a multi-sector powerhouse, capable of anticipating clients' future needs and building talent pipelines accordingly. With a focus on efficiency-driven staffing solutions, QTM is dedicated to enhancing workforce performance through strategic consulting and innovative recruitment tools, achieving a leading placement success rate and fostering long-term partnerships with clients.
11 - 50 employees
Founded 2012
🤝 B2B
🔒 Cybersecurity
May 28

B2B • Cybersecurity • Healthcare
QTM (Quantum Talent Management) is a dynamic staffing and consulting firm that specializes in empowering organizations with expert talent across various sectors, including technology, healthcare, engineering, and finance. Since its inception, QTM has evolved from a traditional IT placement company to a multi-sector powerhouse, capable of anticipating clients' future needs and building talent pipelines accordingly. With a focus on efficiency-driven staffing solutions, QTM is dedicated to enhancing workforce performance through strategic consulting and innovative recruitment tools, achieving a leading placement success rate and fostering long-term partnerships with clients.
11 - 50 employees
Founded 2012
🤝 B2B
🔒 Cybersecurity
• This is a remote position. • We're seeking a Data Engineer to architect and scale our data infrastructure as we handle increasingly complex and sensitive datasets. • You'll lead the development of automated data pipelines that process everything from clinical notes to diagnostic imaging, ensuring compliance, performance, and reliability at scale. • This is a high-impact role where you'll shape our technical direction while working with cutting-edge data types in healthcare and media.
• 5+ years in data engineering with proven experience scaling data systems in production • Startup experience preferred - comfortable with ambiguity and rapid iteration • Technical expertise: Python and/or Java in production environments, modern data infrastructure (Spark, Kafka, Airflow), cloud platforms (AWS/GCP/Azure)
• Competitive salary commensurate with experience • Meaningful equity stake in a fast-growing company • Comprehensive benefits package
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🦅 H1B Visa Sponsor