Data Pipeline Engineer

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 Data Pipeline Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 2-4 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 is the gold standard for 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. In this role, you’ll work closely with analysts, data engineers, and stakeholders to design, debug, and refine high-performance data pipelines in Databricks, while also helping to train and support internal users as the team’s 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 Data Pipeline Engineer You Will

• Report directly to the Senior Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.
• Design, build, and maintain reliable data pipelines that power key products and analyses.
• Detect and resolve performance bottlenecks using Spark UI, logs, and metrics.
• Contribute ideas to improve data models, coding standards, and ETL workflows across the team.
• Collaborate with analysts and other engineers to convert business requirements into scalable datasets.
• Participate in code reviews, author clear documentation, and share learnings through demos and write-ups.
• Continuously deepen your expertise in Databricks, Spark, and AWS by owning increasingly complex projects.