Design, build, administer and support enterprise systems and applications across global environments, providing technical leadership and hands‑on execution.
Compensation
The New York salary range for this role is $133,600 - 200,400
Responsibilities
Design, build, administer and optimize Windows Server environments
Design, build, administer and optimize Linux environments
Manage and support database platforms including SQL Server, MongoDB and PostgreSQL
Own application deployment and lifecycle management for enterprise applications
Implement and maintain CI/CD pipelines using Azure DevOps
Requirements
Bachelor’s degree in Computer Science, Information Technology or related field
Design and develop SOC drivers, firmware, BIOS, and CI/CD systems for NVIDIA’s GPU and SOC products.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
Responsibilities
Developing and triaging platform drivers for SOCs
Building sophisticated automation triage tools and firmware and OS-driver issue packetizations
Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers
Supporting the OEM ecosystem and providing innovative solutions
Driving Startup and Shutdown Time KPIs goal & optimizations
Requirements
BS or MS degree in Computer Engineering, Computer Science, or equivalent
Support delivery and accreditation of secure ground infrastructure, enable cross-domain data flows, and manage secure cloud and on-prem hybrid environments.
Lead analytics projects in business intelligence, financial performance, strategic growth, or Roaming product insights, turning complex data into trusted insights for leadership.
Compensation
Intern wages range from $27/hour to $50/hour. The successful candidate’s actual pay will be based on education/STEM vs non-STEM designation.
Responsibilities
Analyze and integrate data from multiple sources to build dashboards and visualizations that support consistent KPI definitions and trusted performance reporting.
Evaluate revenue, cost, profitability, and operational trends to support P&L driver analysis, forecast variance investigations, and business performance insights.
Research and assess growth opportunities, business cases, pricing decisions, and Roaming product and customer experience improvements.
Validate data, help improve reporting databases, and standardize processes to increase data quality, efficiency, and scalability.
Identify and pursue automation opportunities that reduce manual reporting effort.
Support the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory by maintaining a 24/7 mission‑critical HPC environment, focusing on monitoring, incident response, automation, and continuous improvement.
Compensation
Compensation: $80.00 per hour
Pay Rate: $80.00 per hour
Responsibilities
Monitor HPC computing systems, storage, networking, and data center infrastructure to maintain operational availability.
Review and respond to alerts, troubleshoot technical issues, and escalate incidents to appropriate support teams.
Develop, maintain, and enhance monitoring tools, alerting pipelines, and automated response systems.
Create scripts and software solutions to automate routine operational tasks, improve reliability, and prevent recurring incidents.
Integrate HPC system APIs with monitoring and notification platforms.
Data Engineer responsible for designing, developing and maintaining data architectures and ETL/ELT pipelines on GCP, transforming raw data into reliable datasets, and producing analytics and reporting for business teams.
Responsibilities
Concevoir, développer et maintenir des architectures de données et des pipelines ETL/ELT robustes sur GCP, à l’aide de dbt et d’outils d’orchestration.
Transformer les données brutes en jeux de données fiables, prêts pour l’analyse, et en modèles de données adaptés aux besoins métier.
Réaliser des analyses concrètes et développer des reportings permettant aux équipes métier de comprendre la performance et de prendre des décisions éclairées.
Collaborer avec les équipes IT et les interlocuteurs métier pour traduire leurs questions en solutions data et communiquer clairement les enseignements des analyses.
Améliorer la qualité des données, la fiabilité des pipelines, la sécurité, les performances et la maîtrise des coûts.
Lead discovery sessions with business stakeholders to understand objectives, pain points, constraints, and desired outcomes for proposed use cases.
Partner with architects and technical teams to shape solution approaches for new and evolving business use cases.
Translate business and functional requirements into solution concepts, architecture recommendations, and implementation considerations aligned with enterprise standards.
Assess solution options, tradeoffs, dependencies, and technical feasibility.
Collaborate with engineers, data scientists, machine learning engineers, and domain experts to refine solution direction and support delivery planning.
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Data Engineering Consultant - Consortium & FacilityNewG MASS · London, United Kingdom