Position: Data Engineer, Hockey Operations [Remote] Department: Hockey Operations Reports To: Director, Research & Development Our Purpose We are building a championship organization that serves our fans, community, and business partners through world class sports and entertainment. We believe that Winning Matters, our Fans come first, with risk comes reward, great teams can achieve unimaginable results, honoring the Pacific Northwest is our duty and driving the business is our responsibility. Position Summary The Data Engineer will be part of the Hockey Operations Research & Development team, responsible for building and maintaining the data infrastructure that powers player evaluation, trade analysis, draft preparation, and real-time decision making across the organization. This is a small, high-ownership team where you’ll work closely with analysts, developers, and hockey operations staff who depend on the systems you build. You’ll design & implement pipelines, optimize data storage & retrieval, and help ship reliable, performant infrastructure that scouts and coaches actually use. In a typical week, you might be debugging a pipeline that ingests tracking data, meeting with a scout or analyst to understand a new report they would like created, and working with an analyst on feature engineering for a new model. The systems you build will directly shape how we evaluate players, prepare for games, and make decisions that end up on the ice. Philosophy We believe good engineering in this role means: - Building tools that help hockey operations staff make better decisions, faster - Ability to take loosely defined data requirements and deliver practical solutions - Choosing simple, reliable solutions over clever ones - Owning outcomes from problem through delivery, including incorporating user feedback - Shipping iteratively and learning from how the data is actually used - Noticing data quality or reliability issues early and addressing them proactively - Eagerness to learn the domain, grow as an engineer, and be open to mentorship You do not need to be a hockey expert on day one, but you should be genuinely curious about the domain. Must-Haves - 1+ year of data or analytics engineering experience in a production environment - Ability to independently design and maintain data pipelines in Python - Experience with ETL development, data modeling, and data warehousing - Experience with PostgreSQL or other relational databases at scale - Comfort working directly with non-technical users and translating their feedback into product decisions - Clear written communication and the ability to work with high autonomy Good-to-Haves - Experience with AWS or a similar cloud ecosystem - Experience with a modern data stack: cloud warehouse (Snowflake, BigQuery, Redshift), orchestration (Airflow/dbt) and pipeline tooling. - Experience working with high-frequency spatial or event-stream data (e.g. NHL puck and player tracking, optical tracking systems, or similar) - Passion for hockey or sports Key Considerations - This is a small team with limited layers between identifying a problem and owning it - Priorities shift with the hockey calendar — draft, trade deadline, free agency, and training camp all drive the roadmap - Data reliability is critical because hockey operations staff depend on accurate, timely information for real decisions - Requirements are not always fully defined. Comfort with ambiguity is essential Total Rewards Package Compensation - In accordance with Washington’s Equal Pay and Opportunity Act, the expected pay range for this position is $100,000 to $125,000. Actual base pay will depend on the employee’s experience and other job-related factors permitted by law. - This role is classified as full-time, exempt. Benefits & Perks - Company-paid medical, dental, and vision insurance, including premiums for eligible dependents enrolled in the plans - Company-paid life insurance and short & long term disability insurance - Company-paid employee assistance program and Headspace subscription - Flexible spending accounts and voluntary accident, critical illness, and hospital indemnity insurance available - 401k (pre-tax and Roth) with Company match up to 4% - 15 vacation days and accrued sick time - Minimum 10 paid holidays per year - Paid parental leave - Company-wide recognition platform Working Conditions - Remote position: Candidates located in the United States are preferred, but international candidates are welcome to apply - Minimal Travel (<10% travel): May be required to travel. Trips may require air travel and/or overnight stay away from home for one or more nights. - Some evening and weekend game coverage (shared across the team on a rotating basis) Seattle Hockey Partners, LLC and Seattle Arena Company, LLC are proud to be an equal opportunity workplace. We do not discriminate on basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any protected category prohibited by local, state or federal laws.

About SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator’s list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: SmartAsset’s Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You’ll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. About the Job: SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you’ll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You’ll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Responsibilities: Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. - Develop and manage robust data integrations with external vendors and organizations (including complex API integrations). - Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions. - Lead and take ownership of assigned technical projects in a fast-paced environment. - Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure. Skills/Experience you have: - Bachelor of Science degree in Computer Science or equivalent practical experience. - 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines. - 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks. - Strong expertise in SQL, including advanced query optimization and performance tuning. - Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables. - Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques. - Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications. Skills/Experience preferred: - Proven experience designing and building near real-time data processing systems. - Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health. - Familiarity with modern data orchestration platforms such as Argo or Airflow. - Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks. - Demonstrated ability to identify and adopt new technologies that improve data quality and reliability. - Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting. - Proven track record of mentoring junior team members. - Experience with data ingestion tools like Singer is a plus. - Knowledge of analytics tools such as Tableau, Plotly, and Pandas. - Experience in the financial services industry. Physical Requirements: - Prolonged periods of sitting at a desk and working on a computer - Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks: - All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US. - Medical, Dental, Vision - multiple packages available based on your individualized needs - Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available - Supplemental Short-term and Long-term Disability - FSA: Medical and Dependant Care - 401K - Equity packages for each role - Time Off: Vacation, Sick and Parental Leave - EAP (Employee Assistance Program) - Financial Literacy Mentoring Program - Pet Insurance - Home Office Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com. California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

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.