Senior Data Engineer - Remote

Overview

The Senior Data Engineer is a highly experienced professional responsible for designing, building, and maintaining robust and scalable data infrastructure that empowers data-driven decision-making. They are a hands-on engineer, capable of leading the development and implementation of modern data solutions from end-to-end. This role requires a deep understanding of data engineering best practices, a passion for data quality, and the ability to collaborate effectively with different types of stakeholders.

In Short

• Lead efforts to design, build, and maintain data infrastructure.
• Ensure reliability, performance, and security of the data platform.
• Design and implement modern data architectures.
• Build and optimize ETL pipelines using tools like Airflow.
• Work with relational and NoSQL databases.
• Utilize cloud-based data platforms such as AWS, GCP, or Azure.
• Collaborate with data engineers, data scientists, and stakeholders.
• Handle large datasets and optimize performance.
• Experience with real-time data processing technologies.
• Implement data governance and security best practices.

Requirements

• Extensive experience in data engineering.
• Proficient in Python and data processing libraries.
• Strong communication skills.
• Experience with MLOps tools and platforms.
• Knowledge of infrastructure-as-code tools.
• Experience with containerization and orchestration technologies.
• Ability to build and deploy data APIs.

Benefits

• Annual profit-sharing program and equity eligibility.
• Health, dental, and life insurance with national coverage.
• Annual budget for professional development in Tech.
• Language development incentive program.
• Flexible meal allowance.
• Extended parental leaves.
• Child-care assistance.
• Flexible work schedule and remote-first culture.
• Financial assistance for work-from-home setup.
• Wellness program.