Hiring: Senior Data Engineering Manager Company: YipitData Location: United States Job Posted Time: 2026-09-10 10:43:13 Employment Type: Remote Target Skills & Keywords : Airflow, Data Pipeline, Databricks, ETL, LLM, PySpark, SQL About the job Experience: •8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles. •3+ years of managerial experience, including mentoring, team leadership, and supporting delivery. Required Skills: •Senior Data Engineering Manager to lead one of our data engineering teams. 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 products, AI platforms, and customer-facing data feeds. •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. •Large scale data pipelines built for the public investor business units, corporate investor team, and/or private investor team •Production datasets and analytical models used in research workflows, applications, internal products, and customer-facing deliverables. •Architecting data flows and data models to support various business stakeholders use cases focusing on accuracy, timeliness, and reliability. •AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents.. •Data quality and observability frameworks, including validation checks, freshness monitoring, coverage monitoring, outlier detection, and automated QA controls. •Technical execution across Databricks, Airflow, SQL, PySpark, and related data infrastructure. Compensation: •$215,000 per year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!