Data Infrastructure Lead Engineer

About

Lead data infrastructure initiatives as a Data Infrastructure Lead Engineer on a remote team. Use your skills in AWS, Python, and ETL to empower analytics and business intelligence.

With over 5 years of data engineering experience, you will ensure the integrity and performance of data systems. This role focuses on building scalable ETL pipelines and supporting cross-functional teams with timely data insights. You’ll drive the adoption of data solutions across the organization.

Enhance the organization’s data capabilities by leading robust engineering efforts for scalable, quality-driven data infrastructure.

Key Responsibilities

• Design and optimize scalable ETL and data lake frameworks
• Foster collaboration with BI and Analytics teams
• Monitor databases and ensure data quality
• Deliver timely ad hoc analyses and data support
• Shape future projects and mentor fellow engineers

Requirements

• 5+ years of experience in a data engineering role
• Expertise in AWS, Python, SQL, Docker, and ETL pipelines
• Familiarity with data quality practices and Spark
• Effective communicator with cross-functional teams
• Quality and strategic mindset in data engineering