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 data pipelines using AWS, dbt, and Python.
• Collaborate with stakeholders to understand data needs.
• Model and transform raw data into clean datasets for analytics.
• Build and maintain AWS-based data lake and Redshift infrastructure.
• Identify opportunities for non-technical teams to use data.
• Develop automated data quality and testing frameworks.
• Implement event-driven architectures and processing pipelines.
• Optimize data workflows for performance and cost-efficiency.
• Ensure proper documentation of data models and flows.
• Advocate for data engineering best practices.

Requirements

• Bachelor’s degree in computer science, analytics, or related field preferred.
• 3+ years of experience as a Data Engineer or similar role.
• Proficient in Python for data transformation.
• Strong experience with SQL, especially in Redshift.
• Hands-on experience with dbt for transformation and modeling.
• Expertise with AWS services including Glue, Lambda, and S3.
• Experience building ELT pipelines and event-driven architectures.
• Familiarity with Git and CI/CD workflows.
• Strong problem-solving skills and detail-oriented mindset.

Benefits

• Flexible working conditions including remote work options.
• Opportunities for professional development and learning.
• Collaborative and innovative work environment.
• Contributions to meaningful projects impacting health and wellbeing.