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 customersâranging from the worldâs top investment funds to Fortune 500 companiesâdepend 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 cultureârecognized by Inc. as a Best Workplace for three consecutive yearsâemphasizes transparency, ownership, and continuous mastery.
What Itâs Like to Work at YipitData:
YipitData isnât a place for coastingâitâs a launchpad for ambitious, impact-driven professionals.
From day one, youâll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
If your ambition is matched by your work ethicâand you're hungry for a place where growth, impact, and ownership are the normâYipitData might be the opportunity youâve been waiting for.
This is a remote opportunity based in India.
Standard IST working hours are permitted with the exception of 2-3 days per week, when you will join meetings with the US and LatAm team. On these days, work hours will be between 2:30 - 10:30pm IST. (Please note that we allow for flexibility on the following days to make up for the previous dayâs late work schedule!)
About The Role:
We are seeking a highly skilled Senior Data Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 6-8 years of data engineering experience. An excellent candidate should have a solid understanding of Spark 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 our strategic pipelines and optimize for reliability, efficiency, and performance.
Additionally, Data Engineering serves as the gold standard for all YipitData analyst teams, building and maintaining the core pipelines and tools that power our products. As a Senior Data Engineer on this high-impact, high-visibility team, you will help set technical direction and drive key projects that enable the success of our rapidly growing business. In this role, youâll collaborate with analysts, data engineers, and stakeholders to design, debug, and optimize high-performance data pipelines in Databricks, while also mentoring teammates and helping expand the teamâs capabilities.
As Our Senior Data Engineer You Will:
You Are Likely To Succeed If:
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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