Market Research for the Disruptive Economy.
Senior Data Engineering Manager
Location
California + 3 moreAll locations: California | Florida | New York | Texas
Posted
9 days ago
Salary
$200K / year
Seniority
Senior
Job Description
Senior Data Engineering Manager
YipitData
• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery. • 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.
Job 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.
- 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.
- Strong communication and cross-functional collaboration skills, especially with Product, Research, Operations, Client Success, Sales, and Engineering stakeholders.
Benefits
- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
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