Data Engineering Lead

6+ years

of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).

2+ years of managerial experience

, including mentoring, team leadership, and supporting delivery.

Strong expertise in

SQL

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 annual on-target earnings for this position is anticipated to be up to $215,000~ $240,000.

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.

The compensation package also includes equity.

This role may be performed fully remotely within the United States.

We are looking for a highly skilled

Data Engineering Manager

to join our Data Engineering team and play a central role in building and scaling our vendor universe—the database of companies we track and analyze. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment.

As a

Data Engineering Manager

, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You’ll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, Airflow, PySpark, and SQL.

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