This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Vibe Code specialist, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Compensation On this project, contributors can earn up to $32 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Vibe Code specialist, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Compensation On this project, contributors can earn up to $32 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.

• Construir y mantener los componentes necesarios para soportar el ecosistema de Big Data en entornos Cloud (GCP) • Diseñar e implementar pipelines de datos, modelos, ingestas, procesos de enriquecimiento • Colaborar con áreas analíticas para la toma de decisiones • Administrar políticas de seguridad y accesos para proteger la integridad y confidencialidad de los datos. • Realizar mantenimiento de ingestas en GCP mediante Cloud Functions, Airflow / Composer. • Diseñar modelos de datos robustos, semántica, ingestas y procesos ETL. • Resolver problemas técnicos en el Data Lake y optimizar el rendimiento general. • Gestionar integración, limpieza, transformación y calidad de datos. • Proponer nuevas tecnologías, herramientas y mejoras continuas. • Mantenerse actualizado en tendencias de Big Data, ML y Cloud.

Job Description Summary Responsible for managing business critical data engineering processes and data architecture solutions in order to enable analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies. Job Description Job Overview: As a Supply Chain Data Engineer for the GE Aerospace Digital Workplace team, you will be responsible for designing, building, and maintaining the data and analytics solutions that power Digital Workplace supply chain decisions. Working under the leadership of our Data & Analytics Leader, this role oversees end to end data pipelines and reporting for key operational metrics such as PC and accessory volumes, open PC returns, inventory levels, delivery performance, and deployment trends. The successful candidate will partner closely with Supply Chain, Digital Workplace Operations, Finance, and regional stakeholders to provide accurate, timely, and actionable insights that improve service levels, optimize inventory, and reduce total cost. This position is crucial for driving improvements in our digital workplace environment, ensuring seamless reporting across our organization. You will be part of a growing, focused team to continually develop this internal product portfolio, delivering increased value to our 70,000+ user base across the world, impacting every employee across the company. Essential Responsibilities: - Design, build, and maintain scalable ETL/ELT data pipelines integrating data from asset management, logistics, ticketing, ERP, and procurement systems. - Develop and manage data models and integrations for Digital Workplace supply chain domains, including PCs, accessories, orders, deliveries, returns, and inventory. - Ensure data quality and governance by implementing validation rules, monitoring, and data standards that keep key datasets accurate, complete, and consistent. - Own core dashboards and reports for PC and accessory volumes, open returns and aging, inventory coverage, delivery times vs SLA, and PC deployment trends. - Analyze trends and performance to identify bottlenecks, risks, and improvement opportunities across the Digital Workplace supply chain, providing clear recommendations to stakeholders. - Partner with cross-functional teams (Supply Chain, Procurement, Digital Workplace Operations, Finance, regions) to translate business needs into data solutions and align on metrics and definitions. - Automate and optimize data and reporting processes to reduce manual effort, improve reliability, and expand self-service analytics capabilities. - Document and promote best practices for data engineering, including version control, testing, monitoring, and knowledge sharing for pipelines, models, and reports. - Communicate effectively both within immediate team, horizontal partners, and GE Aerospace leadership. Minimum Qualifications: - Bachelor’s degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience - A minimum of 5 years of professional experience in the Data and Analytics domain - A minimum of 2 years of professional experience in Digital Workplace Technology - Note: Military experience is equivalent to professional experience Desired Characteristics: - Strong SQL and data modeling skills, with experience extracting, joining, and shaping large operational datasets (orders, shipments, inventory, returns, deployments). - Proficiency with scripting languages (e.g., Python or R) to build and automate ETL/ELT jobs, data validation routines, and analytical workflows. - Hands-on experience with data warehousing or lakehouse platforms, including designing efficient schemas and optimizing query performance for supply chain analytics. - Applied analytics experience using statistical methods and basic forecasting to analyze demand, lead times, inventory coverage, and delivery performance. - Background in supply chain, logistics, or asset lifecycle processes, ideally including order-to-delivery, returns, and inventory management concepts. - Experience with integration and monitoring tools (e.g., APIs, message queues, or platforms like ServiceNow/Splunk) to connect supply chain data with operational workflows. - Excellent problem-solving and analytical skills, able to translate ambiguous business questions into data requirements and clear, actionable insights. - Strong communication and data storytelling ability, including explaining complex data findings to non-technical stakeholders in Supply Chain, Finance, and Operations. - Proven collaborator in cross-functional, agile environments, comfortable working with procurement, logistics partners, Digital Workplace teams, and regional stakeholders. - Demonstrated ownership and continuous improvement mindset, proactively identifying data quality issues, removing obstacles, and driving automation and standardization of reporting. U.S. Pay Transparency Notes: The base pay range for this position is $112,000 to $165,000 annually. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on March 25th, 2026. GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position