高级数据工程师 - 全球团队（印度）
Senior Data Engineer - Global Team (India)
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，以揭示软件、AI、云、电子商务、网约车和支付等领域的可操作见解。
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不仅获得数据，还获得清晰度和信心。
我们在美国（纽约、奥斯汀、迈阿密、山景城）、亚太地区（香港、上海、北京、广州、新加坡）和印度设有办公室。我们获奖的以人才为中心的文化——连续三年被 Inc. 评为最佳工作场所——强调透明度、责任感和持续精进。
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、注重影响力的职场人士的跳板。从第一天起，你就会主导有意义的工作，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：
- 有意义的责任：你将主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为几个月
- 实力胜于头衔：信任和责任通过执行获得，而非资历
- 有目的的效率：我们快速推进，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职业精神相匹配，并且你渴望一个以成长、影响力和责任感为常态的地方，YipitData 可能就是你等待的机会。
职位简介：
我们正在寻找一位经验丰富的高级数据工程师加入我们充满活力的数据工程团队。理想的候选人拥有 6 年以上数据工程经验。优秀的候选人应具备扎实的 Spark、PySpark 和 SQL 知识，并有数据管道经验。被录用的人员将在帮助构建我们的数据工程团队方面发挥关键作用，以支持我们的一个战略管道，并优化可靠性、效率和性能。
此外，数据工程团队是公司的核心力量，负责为整个公司提供高质量的数据支持。
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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 (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), 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 seeking a highly skilled Senior Data Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 6+ years of data engineering experience. An excellent candidate should have a solid understanding of Spark.Pyspark, and SQL, and have data pipeline experience. Hired individuals will play a crucial role in helping to build out our data engineering team to support one of our strategic pipelines and optimize for reliability, efficiency, and performance.
Additionally, Data Engineering serves as the gold standard for all other YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products. This high-impact, high-visibility team is instrumental to the success of our rapidly growing business. This is a unique opportunity to be the first hire in this team, with the potential to build and lead the team as their responsibilities expand.
This is a remote opportunity based in India.
During training and onboarding, we will expect several hours of overlap with US working hours.Afterward, standard IST working hours are permitted with the exception of 1-2 days per week, when you will join meetings with the US team.
As Our Senior Data Engineer You Will:
- Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.
- Build and maintain end-to-end data pipelines.
- Help with setting best practices for our data modeling and pipeline builds.
- Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications.
- Become an expert at solving complex data pipeline issues using PySpark and SQL.
- Collaborate with stakeholders to incorporate business logic into our central pipelines.
- Deeply learn Databricks, Spark, AI, and other ETL toolings developed internally.
You Are Likely To Succeed If:
- You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.
- You have 6+ years of experience as a Data Engineer or in other technical functions.
- You are excited about solving data challenges and learning new skills.
- You have a great understanding of working with data or building data pipelines.
- You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks.
- You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy.
- You are eager to constantly learn new technologies.
- You are a self-starter who enjoys working collaboratively with stakeholders.
- You have exceptional verbal and written communication skills.
- Nice to have: Experience with Airflow, dbt, Snowflake, or equivalent.
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 vacation time, parental leave, team events, 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.
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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