Senior Data 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.

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!)

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, 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.

As Our Senior Data 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.
• Own the design, build, and continuous improvement of end-to-end data pipelines and the surrounding platform.
• Define and evangelize technical standards (coding, data-modeling, monitoring) for the team.
• Mentor and pair-program with other engineers; provide architectural and code reviews.
• Lead deep-dive performance-tuning initiatives (Spark UI analysis, cluster configuration, shuffle reduction).
• Evaluate and introduce new Databricks / AWS capabilities that improve reliability or efficiency.
• Translate ambiguous business questions into scalable, production-ready data solutions with clear SLAs.
• Produce high-quality documentation, architecture diagrams, and internal training sessions.

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.
• Proven track record of setting best practices for data modelling, governance, and CI/CD..
• You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks.
• Comfortable steering technical roadmaps and negotiating priorities with senior stakeholders.
• Able to balance long-term architecture thinking with hands-on execution under tight timelines.
• 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.

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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