Lead the strategy, engineering, implementation, operation, and continuous improvement of enterprise telemetry platforms and services for NTT Global Data Centers.
Compensation
$218,800 - $312,500
Responsibilities
Lead the engineering, implementation, operation, and lifecycle management of enterprise telemetry platforms and services.
Establish the technical strategy, standards, and operational roadmap for telemetry capabilities.
Ensure availability, performance, security, scalability, and reliability of telemetry infrastructure and operational data collection services.
Onboard, integrate, and standardize operational systems and data sources into enterprise telemetry platforms.
Collaborate with Operational Technology Architecture to implement scalable, supportable, and maintainable telemetry solutions.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, Industrial Automation, or a related technical discipline.
Support integration of new products and business units into the company’s quoting process, develop Excel-based quoting tools, and collaborate with cross-functional teams to ensure accurate, scalable quoting.
Responsibilities
Support accurate, timely, and scalable quoting for commercial opportunities
Perform requirement gathering and documentation for Excel-based quoting tools
Implement complex logic and configuration rules for product structures and pricing models
Collaborate with Product, Engineering, Sales, Finance, IT, Supply Chain, Logistics, and Commercial Operations teams
Serve as a bridge to enterprise quoting systems such as CPQ platforms
Support development, integration, security, modernization, and sustainment of mission‑critical applications and data environments for the South Carolina Department of Probation, Parole, and Pardon Services.
Responsibilities
Design, develop, and maintain an enterprise data warehouse, data lake, or comparable data platform
Define data models, schemas, metadata, integration patterns, storage approaches, and lifecycle‑management practices
Establish standards for data ingestion, transformation, storage, access, retention, lineage, cataloging, quality, and security
Develop and maintain scalable ETL/ELT pipelines for batch, near‑real‑time, and real‑time data processing
Design secure, reliable interfaces among enterprise applications, reporting platforms, analytics tools, and data repositories
Requirements
Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical discipline
This position is 100% remote and will participate in a monthly on-call rotation supporting a 24x7 security operations center serving multiple agencies.
Palo Alto Cortex XSIAM and Cortex XDR platform engineering, configuration, optimization and troubleshooting.
Multi-tenant agency onboarding, tenant-specific configuration, role-based access, data segregation, dashboards and reporting.
Bright Vision Technologies is seeking a Data Modeler to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making.
Compensation
$115,000–$165,000 Annually
Responsibilities
Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions.
As an Observability Engineer, you will own and further develop our Splunk platform, ensuring reliable insight into operations, performance, and security across our global infrastructure.
Responsibilities
Eie og videreutvikle Splunk på tvers av drift, observability og sikkerhet.
Installere, konfigurere og oppgradere Splunk-servere og forwarders.
Sikre tilgjengelighet, ytelse og kapasitet, og optimalisere lagring og lisensbruk.
Onboarde og normalisere loggkilder og utvikle SPL-søk, dashboards, alarmer og sikkerhetsdeteksjoner.
Automatisere oppgaver og integrasjoner med scripting og API-er.
Requirements
Relevant høyere utdanning innen IT, teknologi eller informasjonssikkerhet
The role involves supporting the successful development and delivery of the Infrastructure Cost Intelligence & Benchmarking Strategy, capturing, managing, and utilizing data for internal and external client competitive advantage.
Locations (2)
London, London, United Kingdom
South East, United Kingdom
Responsibilities
Working with our Digital team to transform the tools that underpin our Cost Intelligence & Benchmarking services
Growing our capability by building a strong Cost Intelligence & Benchmarking network and community of practice
Data mining or extracting usable data from data sources as well as processing, cleansing, and validating its integrity
Supporting the achievement of Estimating & Cost Intelligence team objectives
Staying abreast of developments in the knowledge, data and information management discipline
Requirements
Degree-qualified (or equivalent) in Estimating, Quantity Surveying, or a related discipline
Database Administrator Enterprise Data EngineerNewLeyden Solutions Inc · Columbia, US
Data ModelerBright Vision Technologies · Remote, US