承包商：高级分析工程师
Contractor: Lead Analytics Engineer
为什么你会喜欢这个职位：
在这个职位中，你将有机会直接塑造我们的数据生态系统，构建稳健的数据管道，并应用现代软件工程原则，如版本控制和自动化测试。你将与关键利益相关者紧密合作，推动数据驱动的决策，领导高影响力的项目，并管理大规模的基础设施和自动化。
你将领导并指导初级工程师，为分析团队设定技术方向。如果你热衷于将复杂的数据转化为可靠、可操作的洞察，同时构建可扩展的分析系统，这个职位将为你提供展示和拓展专业技能的理想平台。
你将负责的工作内容：
- 为分析团队设定技术方向（架构、规范、方法）。
- 通过代码审查、设计评审和配对编程提升技术标准，确保交付质量的一致性。
- 负责数据模型的架构，对长期可维护性负责，而不仅仅是你所编写的模型。
- 负责语义层、指标定义和受控的自助服务，让利益相关者能够正确回答自己的问题。
- 作为产品、财务、市场和工程团队的主要技术合作伙伴，将他们的需求转化为团队可以执行的路线图。
- 直接与利益相关者协商范围。
- 推动主动分析的节奏，使团队能提出业务尚未提出的问题，而不是等待工单。
- 定义团队的数据测试策略，并规范业务逻辑在分析层的验证方式。
- 负责分析层的运营健康状况（监控、警报、事件响应和发布准备）。
- 指导周围的工程师，通过文档和技术演讲建立共同理解。
- 领导大规模迁移和性能优化工作，设定方法并使团队能够执行，而不是独自完成。
关于你：
- 在软件环境中拥有8年以上数据工作经验。
- 必要技能：精通SQL和Python；有高级经验管理业务语义层工具、数据目录工具和数据完整性测试框架。有dbt编排和最佳实践的经验。
- 有自主且积极工作的记录，具备深厚的数据系统领域知识。
- 必要技术
查看英文原文
Why You'll Love This Role:
In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making, lead high-impact initiatives, and manage large-scale infrastructure and automation.
You will lead and mentor junior engineers and set the technical direction for the analytical team. If you thrive on transforming complex data into reliable, actionable insights while building scalable analytics systems, this position offers the ideal platform to showcase and expand your expertise.
What You'll Be Doing:
- Set the technical direction for the analytics team (architecture, conventions, approach).
- Raise the technical floor through code review, design reviews, and pairing, holding a consistent bar for what ships.
- Own the architecture of our data models, with accountability for long-term maintainability rather than just the models you write yourself.
- Own the semantic layer, metric definitions, and governed self-service, so stakeholders can answer their own questions correctly.
- Act as the primary technical partner to Product, Finance, Marketing, and Engineering, translating what they need into a roadmap the team can execute.
- Negotiate scope directly with stakeholders.
- Drive a cadence of proactive analysis so the team surfaces questions the business hasn't asked, rather than waiting for tickets.
- Define the team's data testing strategy and govern how business logic is validated across the analytics layer.
- Own the operational health of the analytics layer (monitoring, alerting, incident response, and release readiness for what the team ships).
- Mentor the engineers around you and build shared understanding through documentation and technical presentations.
- Lead large-scale migrations and performance efforts, setting the approach and enabling the team to execute rather than executing alone.
About You:
- 8+ Years experience working with data in a software environment.
- Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with dbt orchestration and best practices.
- You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
- Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
- Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.
Why you’ll love working at Newsela:
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Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.
All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process.
About Newsela:
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.
Originally posted on Himalayas