Senior Data Engineering Manager

📋 Description

• • YipitData is the leading market research and analytics firm for the disruptive economy.
• • 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.
• • 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.
• • You’ll lead high-impact projects with real business outcomes, rapid growth, merit over titles, and velocity with purpose.
• • 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.
• • We are looking for a highly skilled Senior Data Engineering Manager to lead the data engineering team powering our Public Investor business.
• • This is a hands-on player-coach role for someone who can develop engineers, guide technical architecture, and contribute directly to the systems that support our investment research products and customer-facing data feeds.
• • You will own critical, customer-facing data systems 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, 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.
• • You should be comfortable using tools like Claude Code, Codex, Cursor, or similar systems to accelerate implementation, code review, testing, documentation, debugging, and technical exploration while maintaining a high bar for correctness, reliability, and production ownership.
• • You will lead the data engineering team responsible for building and scaling data systems across YipitData’s Public Investor business, including large scale data pipelines, production datasets and analytical models, customer-facing data feeds, AI-ready analytical datasets, data quality and observability frameworks, technical execution across Databricks, Airflow, SQL, PySpark, and related data infrastructure, and operational excellence practices.
• • You will partner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
• • You will build and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms for Public Investor data products.
• • You will 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.
• • You will use AI coding tools to accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
• • You will create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.
• • We are looking for a highly skilled Senior Data Engineering Manager with 8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles, 2+ years of managerial experience, experience managing, mentoring, or formally leading 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, experience building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data products, deep technical judgment across data modeling, distributed data systems, pipeline architecture, orchestration, data quality, observability, and production reliability, and strong communication and cross-functional collaboration skills, especially with Product, Research, Operations, Client Success, Sales, and Engineering stakeholders.
• • Nice to have experience with alternative data or financial data, experience supporting customer-facing data feeds, experience building data pipelines that support AI agents, LLMs, automated insight generation, or AI-powered analytical workflows.
• • 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.
• • The annual salary for this position is $200,000, with a variable target bonus of 10%. The compensation package also includes equity.
• • 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.
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