[Remote] Senior Data Engineering Manager

Note: The job is a remote job and is open to candidates in USA. YipitData is a leading market research and analytics firm focused on the disruptive economy. They are seeking a Senior Data Engineering Manager to lead the data engineering team for their Public Investor business, responsible for developing engineers and overseeing the architecture of critical data systems that support investment research products.ResponsibilitiesLead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and deliveryPartner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities, customer needs, and research requirements into scalable technical plansBuild and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms for Public Investor data productsCollaborate with Central Team, Feed Operations, Product Specialists, Client Success, and GTM teams to support reliable delivery, incident resolution, client communication workflows, and operational improvementsUse AI coding tools to accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivityCreate clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plansSkills8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles2+ years of managerial experience, including mentoring, team leadership, and supporting deliveryExperience managing, mentoring, or formally leading data engineers or technical teams in a hands-on player-coach capacityStrong hands-on expertise with SQL, PySpark, Databricks, and Airflow or similar workflow orchestration toolsExperience building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data productsDeep technical judgment across data modeling, distributed data systems, pipeline architecture, orchestration, data quality, observability, and production reliabilityStrong communication and cross-functional collaboration skills, especially with Product, Research, Operations, Client Success, Sales, and Engineering stakeholdersExperience with alternative data or financial data, including consumer transaction data, email receipt data, B2B spend data, or other large-scale third-party datasetsExperience supporting customer-facing data feeds, including APIs, flat files, cloud storage, portal-based delivery, or recurring feed delivery systemsExperience building data pipelines that support AI agents, LLMs, automated insight generation, or AI-powered analytical workflowsBenefitsVariable target bonus of 10%EquityFlexible work hoursFlexible vacationA generous 401K matchParental leaveTeam eventsWellness budgetLearning reimbursementCompany OverviewYipitData is a market research firm that provides detailed insights and reports based on alternative data. It was founded in 2007, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is https://yipitdata.com.