Data Engineer - Remote

Overview

Join our data team to build and operate real-time, event-driven data solutions using modern cloud-native tools. You'll collaborate cross-functionally to design and implement scalable data pipelines and architecture using AWS Glue, Redshift, dbt, and Python.

In Short

• Design, develop, and maintain robust data pipelines using AWS tools and Python.
• Collaborate with cross-functional teams to understand data needs.
• Model and transform raw data into clean datasets.
• Build and maintain AWS-based data lake and Redshift data warehouse.
• Implement automated data quality and testing frameworks.
• Optimize data workflows for performance and cost-efficiency.
• Ensure documentation of data models and business logic.
• Advocate for data engineering best practices.
• Maintain data security and compliance with HIPAA.
• Work in a remote or hybrid environment.

Requirements

• Bachelor’s degree in computer science or related field preferred.
• 3+ years of experience as a Data Engineer.
• Proficient in Python for data transformation.
• Strong experience with SQL, especially in Redshift.
• Hands-on experience with dbt for data modeling.
• Expertise with AWS services including Glue and Lambda.
• Experience building ELT pipelines and event-driven architectures.
• Familiarity with Git and CI/CD workflows.
• Strong problem-solving skills and detail-oriented mindset.
• Excellent communication skills.

Benefits

• Flexible working conditions (remote/hybrid).
• Opportunities for professional development.
• Collaborative team environment.
• Focus on work-life balance.
• Engaging company culture centered around health and well-being.