Design, build and maintain the data foundation that connects the company's products, CRM, finance systems and operational tools to trusted reporting and analytics.
Responsibilities
Build and maintain reliable ETL/ELT pipelines from product databases, finance systems, CRM and other sources into the central platform
Develop integrations using SQL, APIs, Python and cloud services
Design scalable schemas and data models for shared company, user, CRM, product-usage, finance and operational data
Implement incremental loads, testing, logging, retries, alerting and monitoring
Write readable, secure, version-controlled code and manage performance, access, scalability and cost
Requirements
relevant degree, diploma or equivalent practical experience
V rámci trhu velmi nadstandardní finanční ohodnocení
Bonusy za zapojení do získávání nových kolegů a jejich vedení
V případě aktivní participace na obchodním rozvoji možnost podílu ze zisku firmy
Responsibilities
Příprava testovacích scénářů na základě business a IT analýzy
Testování aplikací a nových funkcionalit ve všech fázích životního cyklu softwaru
Plánování, návrh a správa testů, včetně řízení testovacích aktivit
Příprava a vykonávání regresních testů
Testování integračních vazeb mezi aplikacemi, databázemi a externími systémy
Requirements
Nice to have: tvorba komplexnějších SQL dotazů
Nice to have: zkušenost s integrační platformou Kafka
As a Process Integration and Yield Engineer, you will play a pivotal role in driving technology improvement and manufacturing excellence. You will define process integration roadmaps, analyze large volumes of structured and unstructured data, and implement solutions that enhance quality, yield, and defect reduction.
Locations (2)
Albuquerque, New Mexico, United States
Hillsboro, Oregon, United States
Compensation
Annual Salary Range for jobs which could be performed in the US: $120,860.00-231,670.00 USD
Responsibilities
Define and establish process flows, procedures, and equipment configurations for manufacturing modules.
Extract insights from data using statistical analysis, coding, and machine learning techniques.
Drive yield analysis and defect reduction initiatives to support process improvement.
Conduct quality and reliability risk assessments for manufacturing materials and process changes.
Collaborate with cross-functional teams to ensure successful technology transfer and ramp-up activities.
Internship focused on building predictive models, optimization solutions, and AI-powered tools to improve a nationwide moving and storage operation.
Compensation
$25.00-$30.00/hour
Responsibilities
Own a focus project
Build and validate predictive models
Formulate and solve routing, scheduling or capacity optimization
Build AI agents that automate manual workflows
Prepare and validate operational data
Requirements
Bachelor's or Master's degree in a quantitative or technical field such as Data Science, Business Analytics, Statistics, Operations Research, Computer Science, Artificial Intelligence, Applied Mathematics, Industrial Engineering, Economics
The Technology/AI Lead will design, build, and deploy AI-enabled solutions and process improvements across the account. The work spans facilities management, project management, finance, and operations. This is a hands-on, blended role that pairs deep EAM/CMMS and reliability engineering expertise with AI-powered automation and analytics.
Compensation
132,000 – 150,000 per year
Responsibilities
Assess facilities, project management, finance, and operations workflows to find opportunities for AI, automation, and process redesign.
Map current-state processes with on-site teams, identify bottlenecks and manual effort, and design streamlined future-state workflows.
Maintain a structured innovation pipeline for evaluating, piloting, and scaling emerging AI, IoT, and automation capabilities.
Build and deploy AI-enabled solutions for predictive maintenance of critical building systems, AI-assisted capital project forecasting, and automated reporting.
Architect AI-powered automation within the account's EAM/CMMS platforms.