YipitData

YipitData

Senior Data Engineering Manager

US Remote · Senior

Sponsorship not specifiedDetected 1 day ago
Code ReviewSQLDatabricksAirflowData EngineeringLLMsAgentic AIAI OrchestrationIncident ResponseValuationResearchLeadershipCommunicationCollaborationMentoring

About the role

  • Your team will transform complex data into reliable, production-grade assets used by research analysts, product teams, internal applications, and external investor clients.
  • This role is ideal for an engineering leader who combines strong technical judgment, operational rigor, people leadership, and modern AI-assisted development practices.
  • Large scale data pipelines built for the investor team supporting applications, feeds, and insight agents.

Responsibilities

  • Partner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
  • Build and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms for Public Investor data products.
  • Collaborate with Central Team, Feed Operations, Product Specialists, Client Success, and GTM teams to support reliable delivery, incident resolution, client communication workflows, and operational improvements.
  • Use AI coding tools to accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
  • Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.
  • Experience building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data products.

Requirements

  • 8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles.
  • 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
  • Experience managing, mentoring, or formally leading data engineers or technical teams in a hands-on player-coach capacity.

Nice to have

  • Experience with alternative data or financial data, including consumer transaction data, email receipt data, B2B spend data, or other large-scale third-party datasets.
  • Experience supporting customer-facing data feeds, including APIs, flat files, cloud storage, portal-based delivery, or recurring feed delivery systems.

Skills

  • Strong hands-on expertise with SQL, PySpark, Databricks, and Airflow or similar workflow orchestration tools.

Compensation

  • Our compensation package includes comprehensive benefits, perks, and a competitive salary

Benefits

  • Our compensation package includes comprehensive benefits, perks, and a competitive salary
  • We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • The annual salary for this position is $200,000, with a variable target bonus of 10%.
  • The compensation package also includes equity.

Company info

  • 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 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.
  • 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

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

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

This listing is sourced directly from YipitData's careers page and normalized into a canonical job model.