Senior 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.

Why You Should Apply NOW:

• You’ll be working with many strategic engineering leaders within the company.
• You’ll report directly to the Director of Data Engineering.
• You will help build out our Data Engineering team presence in India.
• You will work with a Global team.
• You’ll be challenged with a lot of big data problems.

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 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 the Senior 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 documentation, architecture diagrams, and other training materials.
• 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, 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 flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, 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. See more on our high-impact, high-opportunity work environment above!
• The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. 

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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