yipitdata

Senior Data Engineering Manager

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At a Glance

Location
United States
Work Regime
remote
Experience
8+ years
Posted
2026-07-22T23:59:42-04:00

Key Requirements

Required Skills

Data EngineeringDatabricksETLSQLSpark

Domain Knowledge

  • Engineering
  • Finance

Requirements

in data engineering, data architecture, big data development, ETL engineering, or related technical roles.

3+ years of managerial experience

data engineers or technical teams in a hands-on player-coach capacity.

Strong hands-on expertise with SQL, PySpark, Databricks, and Airflow

or similar workflow orchestration tools and AI toolings.

Experience building, maintaining, or scaling business-critical data systems

Compensation & Benefits

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 salary for this position is anticipated to be up to $215,000 per year, with a variable target up to 10%. The compensation package also includes equity. 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.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

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.

Responsibilities

Senior Data Engineering Manager

to lead one of our data engineering teams.

role for someone who can develop engineers, guide technical architecture, and contribute directly to the systems that support our products, AI platforms, and customer-facing data feeds.

You will own critical central data pipelines built on large-scale alternative datasets, including transaction data, email receipt data, B2B spend data, and other third-party datasets.

Your team will transform complex data into reliable, production-grade assets used by research analysts, product teams, and internal applications.

This role is ideal for an engineering leader who combines strong technical judgment, operational rigor, people leadership, and modern AI-assisted development practices.

About the Company

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, APAC, and India. Our award-winning, people-centric culture—recognized by

Inc.

as a

Best Workplace