Remote Senior Data Engineering Manager - AI Pipelines

YipitData

United States

On-site

USD 129,000 - 215,000

Full time

14 days+

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Job summary

YipitData seeks a Senior Data Engineering Manager to lead one of our data teams and drive architecture, coding, and delivery of core data assets. This hands-on leader will mentor engineers, own critical pipelines, and contribute to AI-enhanced development across products and feeds.

You will own large-scale datasets including transaction and third-party data, ensuring accuracy, timeliness, and production ownership in a fast-moving, remote-first environment across the United States.

Qualifications

  • 8+ years of experience in data engineering or related roles.
  • 3+ years of managerial experience leading data engineers.
  • Hands-on with SQL, PySpark, Databricks and Airflow.
  • Experience building scalable data systems and data pipelines.

Responsibilities

  • Lead a global data engineering team, guiding architecture and delivery.
  • Build and scale data pipelines and QA systems for multiple data products.
  • Collaborate with product, research and operations to ensure reliable data delivery.
  • Utilize AI coding tools to accelerate engineering execution and documentation.

Skills

Data engineering
Leadership
SQL
PySpark
Databricks
Airflow
AI tooling
Mentoring
Code reviews

Tools

Databricks
Airflow
SQL
PySpark

Job description

YipitData seeks a Senior Data Engineering Manager to lead one of our data teams and drive architecture, coding, and delivery of core data assets. This hands-on leader will mentor engineers, own critical pipelines, and contribute to AI-enhanced development across products and feeds.

You will own large-scale datasets including transaction and third-party data, ensuring accuracy, timeliness, and production ownership in a fast-moving, remote-first environment across the United States.

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