高级数据工程经理
Senior Data Engineering Manager
关于公司：
YipitData 是颠覆性经济领域领先的市场研究和分析公司，最近从 Carlyle Group 获得 4.75 亿美元融资，估值超过 10 亿美元。每天，我们的专有技术分析数十亿个替代数据点，以在软件、AI、云、电子商务、网约车和支付等领域揭示可操作的见解。
我们的数据和研究团队将原始数据转化为战略情报，提供准确、及时且高度情境化的分析，我们的客户——从世界顶级投资基金到财富 500 强公司——依赖这些分析来推动高风险决策。从获取和许可新颖的数据集到严格的分析和专家叙事框架，我们的团队确保客户获得的不仅是数据，还有清晰度和信心。
我们在美国、亚太和印度设有办公室。我们获奖的以人为本的文化——连续三年被 Inc. 评为最佳工作场所——强调透明度、主人翁意识和持续精进。
在 YipitData 工作是什么感觉：
YipitData 不是一个可以混日子的地方——它是有抱负、注重影响力的专业人士的起点。
从第一天起，你将主导有意义的工作，加速成长，并获得塑造职业生涯的曝光机会。
为什么顶尖人才选择 YipitData：
- 有意义的主人翁意识：你将领导具有实际业务成果的高影响力项目
- 快速成长：我们将数年的学习压缩到几个月内
- 实力胜于头衔：信任和责任通过执行而非资历获得
- 有目的的效率：我们快速行动，互相支持，目标远大——始终有明确的目的和意图
如果你的雄心与你的工作态度相匹配，并且你渴望一个成长、影响和主人翁意识是常态的地方，YipitData 可能就是你一直在等待的机会。
职位简介：
我们正在寻找一位技能娴熟的高级数据工程经理，带领我们的数据工程团队之一。这是一个需要亲自参与的教练型角色，适合能够培养工程师、指导技术架构，并直接为支持我们产品、AI 平台和面向客户的数据显示系统做出贡献的人。
你将负责关键的核心数据流水线，这些流水线基于大规模的替代数据集，包括交易数据、电子邮件收据数据、B2B 消费数据和其他第三方数据集。你的团队将把复杂的数据转化为可靠、生产级的资产，供研究分析师使用，
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About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
What It’s Like to Work at YipitData:
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
- Ownership That Matters: You’ll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.
About The Role:
We are looking for a highly skilled Senior Data Engineering Manager to lead one of our data engineering teams. This is a hands-on player-coach role for someone who can develop engineers, guide technical architecture, and contribute directly to the systems that support our products, AI platforms, and customer-facing data feeds.
You will own critical central data pipelines built on large-scale alternative datasets, including transaction data, email receipt data, B2B spend data, and other third-party datasets. Your team will transform complex data into reliable, production-grade assets used by research analysts, product teams, and internal applications.
This role is ideal for an engineering leader who combines strong technical judgment, operational rigor, people leadership, and modern AI-assisted development practices. You should be comfortable using tools like Claude Code, Codex, Cursor, or similar systems to accelerate implementation, code review, testing, documentation, debugging, and technical exploration while maintaining a high bar for correctness, reliability, and production ownership.
What You’ll Own
You will lead the data engineering team responsible for building and scaling data systems for all of YipitData’s businesses, including:
- Large scale data pipelines built for the public investor business units, corporate investor team, and/or private investor team
- Production datasets and analytical models used in research workflows, applications, internal products, and customer-facing deliverables.
- Architecting data flows and data models to support various business stakeholders use cases focusing on accuracy, timeliness, and reliability.
- AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents..
- Data quality and observability frameworks, including validation checks, freshness monitoring, coverage monitoring, outlier detection, and automated QA controls.
- Technical execution across Databricks, Airflow, SQL, PySpark, and related data infrastructure.
- Operational excellence practices across documentation, incident response, monitoring, reliability, and production support.
What You’ll Do
- Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery.
- Partner with Technical Product Managers and Data leads to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
- Build and improve scalable data pipelines, data models, and QA systems for various data products.
- Collaborate with business stakeholders and PMs to support reliable delivery of data pipelines, incident resolution, methodologies, and operational improvements.
- Use AI coding tools to develop and enhance methodologies, accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
- Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.
What We’re Looking For
- 8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles.
- 3+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
- Experience managing, mentoring, or formally leading data engineers or technical teams in a hands-on player-coach capacity.
- Strong hands-on expertise with SQL, PySpark, Databricks, and Airflow or similar workflow orchestration tools and AI toolings.
- Experience building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data products.
Experience working with application teams with OLTP and OLAP use cases
- Deep technical judgment across data modeling, distributed data systems, pipeline architecture, orchestration, data quality, observability, and production reliability.
- Strong communication and cross-functional collaboration skills, especially with Product, Research, Operations, Client Success, Sales, and Engineering stakeholders.
Nice to Have
- Experience with alternative data or financial data, including consumer transaction data, email receipt data, B2B spend data, or other large-scale third-party datasets.
- Experience supporting internal business stakeholders, including collaboration with leadership to aligned on strategic initiatives
- Experience building data pipelines that support AI agents, LLMs, automated insight generation, or AI-powered analytical workflows.
What We Offer:
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual salary for this position is anticipated to be up to $215,000 per year, with a variable target up to 10%. The compensation package also includes equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.
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