Role Description Esta é uma oportunidade em regime freelancer (home office). Se você é um(a) apaixonado(a) por Arte e possui habilidades de redação, temos uma ótima oportunidade para você! Estamos buscando um(a) professor(a) de Arte para produção de conteúdos do site todamateria.com.br. - Garantir a veracidade das informações/dados/fontes. - Criar, revisar e aprimorar conteúdos, por demanda, relacionados com Arte para o site todamateria.com.br. - Garantir a precisão, clareza e qualidade do conteúdo, revisando gramática, ortografia, estilo e organização. - Adaptar os materiais didáticos para atender às necessidades do público-alvo, tornando-os acessíveis e envolventes. - Realizar pesquisas adicionais quando necessário para complementar as informações existentes. - Colaboração e troca de feedbacks com representante da equipe editorial do site. Qualifications - Graduação em Artes ou área relacionada. - Experiência comprovada como professor(a) de Arte (obrigatório). - Experiência com a produção de conteúdo online (obrigatório). - Experiência com revisão e/ou criação textual (obrigatório). - Domínio do Português do Brasil (PT-BR) (obrigatório). - Atenção aos detalhes. - Gosto pela pesquisa/investigação. - Sentido crítico. - Capacidade de trabalhar de forma autônoma, cumprindo prazos e metas estabelecidas. - Acesso à internet (igual ou superior a 20Mbps). Company Description O Toda Matéria faz parte da 7Graus Lda, localizada em Portugal. A nossa equipe é global, com pessoas de muitos lugares, incluindo do Brasil. Valorizamos a riqueza cultural do Brasil e procuramos criar materiais educativos de alta qualidade que se encaixem na realidade dos estudantes brasileiros, respeitando sua cultura e sistema educacional. Nossa missão é empoderar os estudantes brasileiros através do acesso gratuito a conteúdos escolares de qualidade. Acreditamos que a educação deve ser acessível a todos, independentemente de barreiras financeiras. Ao oferecer conteúdos gratuitos, estamos nivelando o campo de jogo e proporcionando oportunidades iguais para todos os alunos do Brasil.

Role Description The Manager, Enterprise Analytics is responsible for the design, operation, and maintenance of AWH's SQL database environment, ETL/ELT pipelines, and the enterprise semantic models that serve as the authoritative source for Power BI reporting and analytics. The role requires deep SQL and Azure platform expertise, strong Power BI and Microsoft Fabric proficiency, and the ability to manage data projects end-to-end in a collaborative environment. Location: This is a remote position. Key Responsibilities - Data Infrastructure & Architecture - Supports and maintains Azure-based SQL Server environments across development, test, and production tiers. - Participates in the architecture and design of the enterprise data platform, including Microsoft DevOps and Fabric. - Acts as coordinator for data engineering projects to ensure appropriate design, performance, and security controls. - Evaluates new data and BI technologies and assesses their application in the AWH environment. - Semantic Models & Business Intelligence - Designs, builds, and maintains enterprise semantic models (Power BI Tabular, Direct Lake) as the authoritative business logic layer for reporting. - Defines and governs measures, KPIs, hierarchies, and relationships to ensure consistency across downstream consumers. - Partners with business stakeholders to document metric definitions and encode them in reusable, version-controlled model assets. - Monitors and tunes semantic model performance including DAX optimization and incremental refresh configurations. - ETL / Data Pipelines - Designs and develops ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric Pipelines, dbt, or equivalent tools. - Develops and integrates data from a variety of sources including transactional systems, SaaS platforms, and third-party APIs. - Manages and monitors production data jobs and pipelines daily, ensuring SLA adherence and data freshness. - Performs scheduled maintenance including code promotion to test and production environments. - Operations & Governance - Manages mission-critical databases requiring 24x7 business operational support. - Responsible for SQL design reviews, query optimization, and data security enforcement. - Implements data quality checks and observability tooling across the data platform. - Develops and enforces data engineering best practices including documentation, naming standards, and CI/CD practices. Qualifications - Bachelor's Degree in Computer Science, Data Science, Information Systems, or a related field. - Minimum five years of experience in BI engineering, data engineering, or a related SQL/database role. - Demonstrated experience building and maintaining semantic models in Power BI (Tabular, DAX) or Azure Analysis Services. - Hands-on experience with Azure data services: Azure SQL Database, Azure Synapse Analytics, and/or Azure Data Factory. - Working knowledge of Microsoft Fabric including Fabric Lakehouses, OneLake, Fabric Pipelines, and Direct Lake models. - Experience with dbt or similar transformation frameworks for building modular, tested data pipelines. - Deep proficiency in SQL including query tuning, execution plan analysis, and optimization for large-scale datasets. - Experience with SQL Server in the Azure environment. - Knowledge of database backup/restore strategies, transactional replication, and database security concepts. - Familiarity with monitoring and observability tools for SQL Server and cloud data platforms (Azure Monitor or equivalent). - Familiarity with Git and CI/CD practices applied to data assets and model deployments. - Retail industry experience preferred, ideally within a multi-site or high-growth environment. - Strong problem-solving and analytical skills; ability to analyze complex technical and data-related challenges. - Ability to work independently and collaboratively across data, engineering, and business teams. - Strong communication skills with the ability to translate technical concepts for non-technical stakeholders. Work Environment This position primarily performs duties in a remote office setting. Physical Requirements While performing the duties of this job, this position is regularly required to sit and regularly use hand(s) to handle, grasp, feel, and or touch. This position is occasionally required to stand, walk and reach with hands and arms. This position is required to speak and listen regularly. EEO Statement Ascend Wellness Holdings, Inc. ("AWH") and its subsidiaries is an equal opportunity employer and celebrate the population of differences and does not discriminate in its hiring / hiring practices, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

Software Data Engineer Location: Homewood, Alabama Remote Permanent Pay Rate - $120k - $130k (estimate) Job Description: An employer is lookiing for a Software Data Engineer to sit remotely, You will primarily be tasked with building the infrastructure for "data-as-a-service" through a blend of data and backend engineering. You will contribute to the design and operation of the REST APIs and NATS-based event services that standardize data access across hospitals. You will be managing the complexity of data flowing from diverse hospital systems. You will work on complex data transformations and schema mapping to ensure that information from hundreds of different sources is normalized into a high-quality, reliable format. Your focus is on internal enablement, collaborating with the team to build services that abstract away system complexities and enforce data hygiene for our engineering and analytics groups. You will be a key contributor to our high-performance data pipelines, helping to solve large-scale integration challenges while supporting our long-term data architecture. Task will include: - Develop backend services and data integrations primarily using Python. - Implement complex data transformations, normalization logic, and schema mapping to unify fragmented data sources. - Design and enforce data hygiene and quality standards to ensure the reliability of data served across the organization. - Manage event-based communication and system messaging through NATS. - Build REST APIs to standardize and govern how internal teams access hospital data. - Operate data systems using MongoDB and relational databases to support both operational and analytical use cases. - Maintain system health and visibility using Datadog for observability and monitoring. - Partner with engineering and analytics teams to support their data access and application development needs. - Participate in architecture discussions, code reviews, and the continuous improvement of the data platform. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 4-5 years experience in data and back end software engineering Strong proficiency in Python- building backend services (REST APIS) and data integrations Strong experience in data cleansing/ hygiene and building data pipelines Schema mapping and data integrations experience Well versed in MongoDB and relational databases (RDBMS) Strong experience working in AWS Experience with messaging platforms (Kafka, NATS, etc.) Experience with Datadog or other monitoring tools Veterinary or healthcare experience Kubernetes CICD pipeline experience

• Design, build, and support high-quality data solutions and pipelines using modern engineering practices and tools. • Partner closely with product managers, software engineers, and data analysts to deliver scalable, reliable data capabilities that power digital products and business insights. • Accountable for the end-to-end lifecycle of data products, from design and implementation through production support, data quality, and performance against key metrics. • Integrate data from diverse sources including APIs, databases, event streams, and third-party systems. • Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments. • Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools. • Optimize data workflows for performance, cost efficiency, and operational resilience. • Document data flows, lineage, and technical components in support of transparency and maintainability.