Data Engineer - Remote

Overview

We’re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You’ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you’ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.

In Short

• Design, build, and maintain scalable and reliable data pipelines.
• Collaborate with data scientists and analysts for optimized data availability.
• Implement data quality checks and monitoring processes.
• Design efficient ETL/ELT workflows using modern data tools.
• Integrate data from multiple sources into centralized storage solutions.
• Support cloud-based infrastructure for data storage.
• Monitor and optimize existing data pipelines.
• Document data workflows and best practices.
• Partner with stakeholders to understand data requirements.
• Support a culture of data reliability and security.

Requirements

• Proficiency in Python and SQL.
• Strong understanding of ETL/ELT processes and data warehousing.
• Hands-on experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with data orchestration tools like Airflow and Airbyte.
• Experience with containerization and deployment tools (Docker, Kubernetes).
• Knowledge of data governance and security best practices.
• Familiarity with Git and GitHub.
• Dataform experience is a must.
• Strong skills in eliciting requirements from stakeholders.

Benefits

• Opportunity to work in a fast-growing company.
• Collaborative work environment with cross-functional teams.
• Direct impact on data-driven decision-making.
• Flexible work hours.
• Remote work opportunity.