Senior Data Engineer - Remote

Overview

We are seeking a results-driven Senior Data Engineer to lead the evolution of our curated analytics architecture in a fully remote role, focusing on designing scalable data pipelines using AWS-native tools and driving innovation through AI-enhanced engineering practices.

In Short

• Lead the evolution of analytics architecture.
• Design scalable data pipelines using AWS services.
• Implement robust data governance practices.
• Champion Agile delivery through Jira Kanban boards.
• Provide technical leadership and mentorship.
• Drive continuous improvement and innovation.
• Collaborate with cross-functional teams.
• Build and maintain high-performance ETL frameworks.
• Foster best practices in a collaborative environment.
• Enhance internal frameworks with emerging technologies.

Requirements

• 4-6 years of data engineering experience.
• Practical experience with Agile methodologies.
• Proven expertise in AWS services.
• Proficiency in Python, PySpark, and SQL.
• Strong understanding of data modeling and ETL best practices.
• Excellent problem-solving and communication skills.
• Ability to work independently and mentor junior developers.
• Bachelor’s degree in a related field.
• Experience in financial services is a plus.
• Familiarity with AI-enhanced engineering tools.

Benefits

• Medical, dental, vision, and life insurance.
• 401(k) plan with generous company matching.
• Tuition reimbursement up to $5,250/year.
• Business-casual environment.
• Generous paid time off and holidays.
• Paid volunteer time.
• Leave of absence programs.
• Inclusive Business Resource Groups.
• Flexible work environment.
• Opportunity for internal mobility.