• Consultor SAP en áreas relacionadas con data warehouse • Manejo de SAP BW, SAP BO, SAP HANA • Implementación y soporte de SAP Analytics Cloud • Desarrollo y soporte de ETL y Data Warehouse • Colaborar en proyectos de análisis de datos

Job Description: We are seeking a highly skilled and experienced Data Engineer to help shape and scale our supply chain and operations analytics infrastructure. In this role, you will work closely with cross-functional teams—including Operations, Finance, and Analytics—to design, build, and monitor scalable, production-grade data pipelines. Your work will be critical to driving data-informed decisions across the business. --- Requirements: - Develop and maintain automated ETL pipelines using Python, Snowflake SQL, and related technologies. - Ensure robust data quality through unit testing, validation, and continuous monitoring. - Collaborate with stakeholders to ingest and transform large healthcare datasets with accuracy and efficiency. - Leverage AWS services such as S3, DynamoDB, Batch, and Step Functions for data integration and deployment. - Optimize performance for pipelines processing large-scale datasets (1GB+). - Translate business requirements into reliable, scalable data solutions. --- Experience: - 4+ years of hands-on experience as a Data Engineer or in a similar role. - Proven expertise in Python, SQL, and Snowflake for data engineering tasks. - Strong experience building and maintaining production-grade ETL pipelines. - Solid understanding of data validation, transformation, and debugging practices. - Prior experience with healthcare or claims datasets is highly preferred. - Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions. - Experience working with large datasets and complex data environments. - Excellent verbal and written English communication skills. --- Work Schedule: - Full-time remote position (40 hours/week). - Working hours must align with U.S. Central Time Zone (CT).

Data Engineer Location: Remote Citizenship: U.S. Citizen, Green Card No 3rd parties We’re seeking a Data Engineer to design and optimize data pipelines supporting our Supply Chain, Logistics, and Transportation operations. You’ll work with business and technical teams to integrate, transform, and deliver high-quality data for analytics and reporting. Responsibilities: - Build and maintain data pipelines using Keboola. - Integrate and model data from multiple business systems. - Ensure data accuracy, reliability, and scalable performance - Collaborate with analysts and engineers to support analytics needs. - Contribute to documentation, governance, and pipeline automation. Qualifications: - 5 years of experience in data engineering or data integration. - Hands-on with Keboola (1 year preferred) or strong experience with similar tools. - Proficient in SQL and familiar with cloud data platforms such as Snowflake. - Understanding of APIs, JSON, and data modeling. - Experience using Azure DevOps Boards in a team-based Agile environment. - Preferred: Experience in Supply Chain, Logistics, or Transportation; Python scripting; CI/CD and version control (Git); and Azure DevOps experience managing repositories, pipelines, and software releases.

Language Annotation Expert - Hebrew About Us Rime AI is building next-generation voice technology to make human–computer interactions more natural, accurate, and expressive. Our platform powers high-quality speech experiences across industries, and we’re looking for passionate language experts to help us improve the way our AI understands and speaks the world’s languages. Role Overview We are seeking Language Annotation Experts for Hebrew. In this role, you’ll contribute to the development of advanced Voice AI models by providing linguistic expertise, creating and refining annotation conventions, and supporting high-quality data collection efforts. Key Responsibilities - Develop and apply annotation guidelines tailored to your language of expertise - Label and annotate speech, text, and phonetic data with accuracy and consistency - Provide linguistic insights into pronunciation, prosody, and grammar usage - Support data collection processes, ensuring high-quality and culturally relevant datasets - Collaborate with the product and research teams to refine voice models - Perform quality checks on annotated data to ensure consistency and correctness Qualifications - Native Hebrew speaker - English language proficiency - Strong background in linguistics, phonetics, computational linguistics, or related field - Experience with data annotation, transcription, or linguistic QA - Familiarity with annotation tools and workflows is a plus - Attention to detail and ability to follow complex guidelines - Comfortable working independently in a remote, collaborative environment Nice to Have - Prior experience contributing to speech/voice technology projects - Understanding of NLP, ASR, or TTS systems - Multilingual proficiency What We Offer - Remote, flexible work - Opportunity to directly influence the future of Voice AI - Work with a diverse, mission-driven team passionate about language and technology - Note: this is a part time contract position with the possibility to grow into a full-time role.