The Aspen Group (TAG) is seeking a Manager of Data Engineering to oversee a team of data engineers and drive the development and maintenance of their data infrastructure, ensuring data quality, transformation, and orchestration to support data-driven decision-making.
Requirements
- Expertise in DBT for data transformation, including cataloging, lineage, freshness, and data quality checks.
- Strong understanding of data governance principles and best practices.
- Proficiency in Airflow and DAG development.
- Experience working with Google Cloud Platform (GCP) technologies.
- Excellent coding skills in languages such as Python and SQL.
- Knowledge of Agentic AI, RAG and Vibe Coding Technologies and the implementation of those into the data practice
Responsibilities
- Leadership, Mentorship and Day to Day Management of Data Engineering Pods and Resources
- Development of DBT Pipelines for data transformation, including cataloging, lineage, freshness, and data quality checks. Implement best practices to optimize data transformation processes.
- Code Reviews: Conduct thorough code reviews to ensure the quality, efficiency, and maintainability of data engineering code. Provide constructive feedback and mentor team members to improve their skills.
- Infrastructure Management: Collaborate with the Data Platform Team to define and maintain the infrastructure for data engineering code. Ensure scalability, reliability, and performance of data pipelines.
- Airflow and DAG Quality: Implement and maintain Airflow workflows and DAGs (Directed Acyclic Graphs) to orchestrate data pipelines effectively. Ensure the quality and reliability of workflow scheduling and execution.
- Google Cloud Technologies: Leverage Google Cloud Platform (GCP) technologies such as Pub/Sub, DataFlow, Cloud Functions, BigQuery, and Cloud Storage to design and optimize data solutions.
- Agentic AI and RAG Integrations: Stay updated with the latest advancements in Agentic AI and RAG Technologies. Evaluate and integrate as and when appropriate into data engineering processes to enhance data retrieval, generation and overall efficiency
Other
- Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Business Analytics); master’s degree preferred.
- Proven experience in data engineering, with at least 2 in a leadership or managerial role.
- Strong leadership, communication, and problem-solving skills.
- This role is onsite 4 days/week in our Chicago office (Fulton Market District)
- A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match
