Data Engineering Manager
$190,000–$230,000 year
Remote · New York City, New York, United States or US
Job Summary
As a Data Engineering Manager, you will design and maintain large-scale data pipelines, establish best practices in data modeling and system reliability, and collaborate across teams to deliver scalable data solutions. The role requires you to have strong expertise in SQL, and proficiency in PySpark, and Databricks, alongside hands-on experience with Airflow. You will also lead a team, mentor engineers, and contribute to technical strategy to drive improvements in performance and efficiency.
Required Qualifications
- 6+ years of professional experience in Data Engineering or equivalent technical roles.
- 2+ years of managerial experience, including mentoring and team leadership.
- Strong expertise in SQL and distributed data systems.
- Proficiency with PySpark and Databricks for processing and scaling large datasets.
- Hands-on experience with Airflow for pipeline orchestration.
Desired Qualifications
- Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
- Familiarity with Django or similar web frameworks to support data-driven applications.
Additional Requirements
- We are not able to consider candidates who currently or in the future will require visa sponsorship.
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