Data Engineer - Remote

Overview

As a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data pipelines, data warehouses, and data lakes to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.

In Short

• Design, build, and maintain scalable data pipelines and ETL workflows.
• Develop and optimize data warehouses and data lakes using cloud platforms.
• Implement real-time and batch data processing solutions.
• Work with structured and unstructured data.
• Ensure data reliability, consistency, and scalability.
• Collaborate with data analysts, scientists, and software engineers.
• Automate data ingestion, transformation, and validation processes.
• Monitor and optimize query performance and data processing efficiency.
• Implement security, compliance, and governance standards.
• Stay up to date with emerging data engineering trends, tools, and technologies.

Requirements

• Around 4+ years of experience in data engineering, software engineering, or database management.
• Proficiency in SQL, Python, or Scala.
• Hands-on experience with cloud-based data solutions.
• Experience building ETL pipelines with various tools.
• Strong understanding of data modeling, schema design, and database optimization.
• Experience with big data frameworks is a plus.
• Familiarity with orchestration tools and containerization.
• Knowledge of data security, governance, and compliance.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced, data-driven environments.

Benefits

• Remote-first approach with flexible working hours.
• Apple hardware ecosystem for work.
• Annual Bonus.
• Medical Insurance (including vision & dental).
• Disability insurance - short and long-term.
• 401k up to 4% contribution.
• Air Stipend of $3,120/year.
• Air Conference 2025 in Las Vegas.