Senior Data Engineering Manager
New
Y
YipitDataMarket Research
This role may be performed fully remotely within the United States.Full-TimeManager
Salary200,000 USD per year
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Job Details
- Experience
- 8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles. 2+ years of managerial experience.
- Required Skills
- SQLETLPeople ManagementAirflowData engineeringData modelingDatabricksPySpark
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.
- 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.
Responsibilities
- Lead, coach, and develop a global team of data engineers.
- Partner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities into scalable technical plans.
- Build and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms.
- Collaborate with Central Team, Feed Operations, Product Specialists, Client Success, and GTM teams.
- Use AI coding tools to accelerate engineering execution and improve documentation.
- Create clarity and momentum in ambiguous environments.
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