Senior Data Engineering Manager

YipitData

Senior Data Engineering Manager leading data engineering team for YipitData's Public Investor business. Overseeing large-scale data systems and driving high-impact engineering projects.

Posted 6/10/2026full-timeRemote • California, Florida, New York, Texas • 🇺🇸 United StatesSenior💰 $200,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowETLPySparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

Flexible work hours
Flexible vacation
Generous 401K match
Parental leave
Team events
Wellness budget
Learning reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architecturebig data developmentETL engineeringSQLPySparkDatabricksAirflowdata modelingpipeline architecture

Soft Skills

team leadershipmentoringcommunicationcross-functional collaborationproblem-solvingcoachingorganizational skillsadaptabilityclarity in ambiguitytechnical judgment