Global Data Engineer

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Who We Are Goodway Group is one of AdAge's 2025's BEST PLACES TO WORK ! As an independent and remote-first media and marketing services firm with a 90+ year history, Goodway Group has the security of an established company combined with a start-up feel. With leading data-driven and technology-enabled digital media and marketing services firm with teams in the U.S. and the UK, our diverse team of digital strategists, media practitioners, technologists and data scientists have won the most prestigious awards for innovative marketing technology, impactful work and inclusive remote-first places to work including being honored as a multiyear winner in Ad Age Best Places to Work, Ad Exchanger's Best Use of Technology by an Agency Award and two MarTech Breakthrough Awards and a certified service partner to The Trade Desk. Please Note: We are targeting individuals that live in Brazil, Colombia, and Mexico for this role. We are not currently accepting candidates from the United States. As a Senior Data Engineer , you will design, build, and own scalable data systems that power analytics, decision-making, and customer outcomes. You will translate business needs into reliable data pipelines and models, drive system design for team-level architecture, and ensure high standards for data quality and performance. You will also mentor other engineers and collaborate across teams to deliver data solutions that are resilient, maintainable, and aligned with business impact. What You Will Do Own delivery of production-grade data systems. Design, build, and maintain resilient data pipelines and platforms that support analytics, machine learning, and business operations. Your work is reliable under scale and built with long-term maintainability in mind. Drive system design for data architecture. Own the design of data models, pipelines, and storage solutions for team-level systems. You create scalable, flexible foundations that reduce complexity and improve onboarding for others. Ensure high standards for code quality and reliability. Write well-tested, maintainable code and enforce best practices across data workflows. You proactively prevent issues such as data quality failures, pipeline fragility, and technical debt. Translate business needs into technical solutions. Connect data engineering decisions to business outcomes. You understand how data is used across the organization and ensure systems support accurate, timely, and actionable insights. Collaborate across engineering, product, and data teams. Work closely with stakeholders to define requirements, prioritize work, and deliver solutions that align with business goals. You actively participate in design discussions and influence implementation decisions. Mentor and unblock other engineers. Support team growth through code reviews, documentation, and technical guidance. You help others improve their approach to data engineering and keep projects moving forward. Identify and mitigate risks early . Anticipate edge cases, scalability challenges, and data integrity risks. You surface issues early and help the team make informed tradeoffs. Improve systems, tools, and processes. Introduce improvements to pipelines, testing, observability, and deployment practices. Your contributions lead to faster delivery, fewer incidents, and stronger overall system performance. What You Bring Experience Technical Depth 5+ years of experience in data engineering or related fields Strong experience building and maintaining scalable data pipelines (batch and/or streaming) Proficiency in SQL and at least one programming language (Python, Scala, or similar) Experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks) Familiarity with orchestration tools (e.g., Airflow, Dagster) and data modeling practices Experience with cloud platforms (AWS, GCP, or Azure) System Design Ownership Ability to design and implement scalable data systems with clear tradeoffs Experience improving system relia

我们是谁 Goodway Group是AdAge 2025年最佳工作场所之一！作为一家独立且远程优先的媒体和营销服务公司，拥有90多年的历史，Goodway Group兼具成熟公司的安全感和初创公司的氛围。作为领先的数据驱动和技术赋能的数字媒体和营销服务公司，我们在美国和英国设有团队，我们多元化的数字策略师、媒体从业者、技术专家和数据科学家团队凭借创新的营销技术、有影响力的工作成果和包容性的远程优先工作场所赢得了最负盛名的奖项，包括多年荣获Ad Age最佳工作场所奖、Ad Exchanger最佳代理机构技术使用奖和两项MarTech Breakthrough奖，并且是The Trade Desk的认证服务合作伙伴。请注意：我们正在寻找居住在巴西、哥伦比亚和墨西哥的候选人担任此职位。我们目前不接受来自美国的候选人。作为高级数据工程师，您将设计、构建和拥有可扩展的数据系统，为分析、决策和客户成果提供动力。您将把业务需求转化为可靠的数据管道和模型，推动团队级架构的系统设计，并确保数据质量和性能的高标准。您还将指导其他工程师并跨团队协作，交付具有弹性、可维护且与业务影响一致的数据解决方案。您将做什么 拥有生产级数据系统的交付。设计、构建和维护支持分析、机器学习和业务运营的弹性数据管道和平台。您的工作在大规模下可靠，并以长期可维护性为设计考量。推动数据架构的系统设计。拥有团队级系统的数据模型、管道和存储解决方案的设计。您创建可扩展、灵活的基础设施，降低复杂性并改善他人的入职体验。确保代码质量和可靠性的高标准。编写经过充分测试、可维护的代码，并在数据工作流中执行最佳实践。您主动预防数据质量故障、管道脆弱性和技术债务等问题。将业务需求转化为技术解决方案。将数据工程决策与业务成果联系起来。您了解数据在整个组织中的使用方式，并确保系统支持准确、及时和可操作的洞察。跨工程、产品和数据团队协作。与利益相关者紧密合作，定义需求、确定工作优先级并交付与业务目标一致的解决方案。您积极参与设计讨论并影响实施决策。指导并帮助其他工程师排除障碍。通过代码审查、文档和技术指导支持团队成长。您帮助他人改进数据工程方法并保持项目向前推进。及早识别和缓解风险。预见边缘情况、可扩展性挑战和数据完整性风险。您及早发现问题并帮助团队做出明智的权衡。改进系统、工具和流程。为管道、测试、可观测性和部署实践引入改进。您的贡献带来更快的交付、更少的事件和更强的整体系统性能。您带来什么 经验 技术深度 5年以上数据工程或相关领域经验 构建和维护可扩展数据管道（批处理和/或流处理）的丰富经验 精通SQL和至少一种编程语言（Python、Scala或类似语言） 具有现代数据平台经验（例如Snowflake、BigQuery、Redshift、Databricks） 熟悉编排工具（例如Airflow、Dagster）和数据建模实践 具有云平台经验（AWS、GCP或Azure） 系统设计所有权 能够设计和实施具有明确权衡的可扩展数据系统 具有改善系统可靠性的经验

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