Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
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.
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.
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.
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 day’s late work schedule!)
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, you’ll 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 team’s capabilities.
Data analysis and research services provider
YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.