Data Engineer Python SQL Pipelines

Build trusted data pipelines with Python and SQL while translating stakeholder needs into scalable analytics solutions across batch and near-real-time workflows.

This Data Engineer-focused analyst role connects business stakeholders, data product owners, and engineering partners. You will discover reporting landscapes, design target pipelines, define metrics, and maintain data assets. The work supports governance, quality, testing, documentation, and adoption.

Key Responsibilities:

• Understand stakeholder analytics needs and establish delivery plans
• Inventory sources, ETL processes, dependencies, and existing metrics
• Develop, tune, and optimize Python and SQL pipelines
• Implement incremental loads, partitioning, and CDC patterns
• Build reusable libraries and parameterized pipelines

Requirements:

• Bachelor’s or master’s degree in a related analytics area
• Deep expertise in Python, SQL, and query performance tuning
• Experience maintaining batch and near-real-time data pipelines
• Proficiency with ETL, ELT, incremental loads, partitioning, and CDC
• Knowledge of data warehousing and logical modeling

Apply your Python, SQL, pipeline engineering, and data modeling expertise to deliver reliable analytics assets.