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Data Virtualization Engineer Jobs in New York (NOW HIRING)

Data Engineer

Manhattan, NY · On-site

$119K - $150K/yr

... for Data Analytics, Innovation, and Rigor team, you will report to Rubric Engineering and ... virtualization platforms (e.g., Docker). * 5+ years of practical experience in Extract, Transform ...

Pyspark Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

... engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and ... in data virtualization/data federation for creating data product (e.g. in Starburst) in ...

You will support SRE related operations, and work across multiple database technologies in hybrid ... Delphix or similar data virtualization/manageability tooling * RDBMS concepts and operations * XML ...

Senior Systems Engineer - GSI

Manhattan, NY · On-site

$115K - $157K/yr

VAST Data is looking to hire a Senior Sales Engineer - Global Systems Integrators (GSI) to join our ... virtualization, and modern data platforms, with hands-on knowledge of technologies and protocols ...

Senior Systems Engineer - GSI

Manhattan, NY · On-site

$115K - $157K/yr

Description VAST Data is looking to hire a Senior Sales Engineer - Global Systems Integrators (GSI ... virtualization, and modern data platforms, with hands-on knowledge of technologies and protocols ...

You will support SRE related operations, and work across multiple database technologies in hybrid ... Delphixor similar data virtualization/manageability tooling * RDBMS concepts and operations * XML ...

Senior Systems Engineer

Manhattan, NY · On-site

$115K - $157K/yr

VAST Data is a rapidly growing infrastructure company focused on building enterprise software for ... virtualization, high-performance networking and enterprise security • Excellent verbal and ...

Senior Systems Engineer

Manhattan, NY · On-site

$115K - $157K/yr

VAST Data is a rapidly growing infrastructure company focused on building enterprise software for ... virtualization, high-performance networking and enterprise security • Excellent verbal and ...

Senior Systems Engineer

Manhattan, NY · On-site

$115K - $157K/yr

VAST Data is a rapidly growing infrastructure company focused on building enterprise software for ... virtualization, high-performance networking and enterprise security • Excellent verbal and ...

Senior Systems Engineer

Manhattan, NY · On-site

$115K - $157K/yr

VAST Data is a rapidly growing infrastructure company focused on building enterprise software for ... virtualization, high-performance networking and enterprise security • Excellent verbal and ...

Senior Systems Engineer - New York

Manhattan, NY · On-site

$115K - $157K/yr

VAST Data is a leading company in the AI era, focused on building enterprise software ... virtualization, high-performance networking and enterprise security. • Excellent verbal and ...

Showing results 21-40

Data Virtualization Engineer information

How does a data virtualization engineer typically collaborate with business analysts and data scientists?

Data Virtualization Engineers play a key role in bridging the gap between raw data and actionable insights by working closely with business analysts and data scientists. They design and maintain virtual data layers that allow these teams to access integrated, real-time data from multiple sources without having to manage the underlying complexities. Regular collaboration often includes requirements gathering, troubleshooting data access issues, and optimizing queries to ensure performance and accuracy. This cross-functional teamwork helps ensure that data-driven decisions are based on timely, trustworthy information.

What are the key skills and qualifications needed to thrive as a data virtualization engineer, and why are they important?

To thrive as a Data Virtualization Engineer, you need expertise in data integration, SQL, data modeling, and a solid understanding of database technologies, often supported by a degree in computer science or related fields. Familiarity with data virtualization tools such as Denodo, Cisco Data Virtualization, or IBM Cloud Pak for Data, as well as certifications in these platforms, are commonly required. Strong problem-solving skills, effective communication, and the ability to collaborate across business and IT teams are valuable soft skills. These competencies are essential for building efficient, scalable data solutions that enable organizations to access and manage data seamlessly from diverse sources.

What is a data virtualization engineer?

A Data Virtualization Engineer is an IT professional who specializes in creating and managing data virtualization solutions, which allow organizations to access and integrate data from multiple sources without physically moving or replicating it. They design, implement, and maintain data virtualization platforms, enabling real-time data access for analytics, reporting, and business intelligence. These engineers work closely with data architects, business analysts, and IT teams to ensure seamless data integration and optimal performance. Their work simplifies data management and helps organizations make faster, data-driven decisions.
What are popular job titles related to Data Virtualization Engineer jobs in New York? For Data Virtualization Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Virtualization Engineer jobs in New York look for? The top searched job categories for Data Virtualization Engineer jobs in New York are:
What cities in New York are hiring for Data Virtualization Engineer jobs? Cities in New York with the most Data Virtualization Engineer job openings:

Data Engineer

Child Mind Institute

Manhattan, NY • On-site

$119K - $150K/yr

Full-time

Medical, Retirement

Re-posted 20 days ago


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.


Position Details:

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Rubric Engineering and Measurement Specialist. You will develop infrastructure to support large-scale AI evaluation frameworks. You will design scalable data pipelines for generating and processing synthetic data, implement secure data storage solutions, and create infrastructure for real-time model evaluation and monitoring. You will use common frameworks, platforms, and languages, such as Python, SQL, GitHub, containerization tools (e.g., Docker, Kubernetes), and cloud computing infrastructures (e.g., AWS, Azure) to build robust and scalable data infrastructure that support our AI research initiatives.

This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization.


You Will:

  • Create and maintain scalable data pipelines for efficient storage and retrieval of multimodal data, with particular emphasis on clinical, natural language, and multi-turn response data.

  • Create pipelines for data transformation, preprocessing, and management. · Ensure data quality, security, and compliance with privacy regulations for handling sensitive data.

  • Perform quality assurance of pipelines/processes to maintain integrity throughout the data lifecycle.

  • Create interactive visualizations and dashboards to communicate data insights and pipeline performance metrics.

  • Write documentation and relevant text for scientific, clinical, or public dissemination of knowledge.

  • Perform additional job-related duties as assigned.


You Have:

  • Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required.

  • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.

  • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.

  • 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).

  • 5+ years of practical experience in Extract, Transform, Load (ETL) processes and database management languages (SQL,NoSQL), and familiarity with associated cloud computing services and frameworks (AWS, Azure, Terraform).

#LI-hybrid


Our Benefits


Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.


Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.


EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.


We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.


In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).


Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org


This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.