Data Engineer, DoubleVerify

• Experience: 0-2 years of experience in a technical or engineering support role, including personal projects or internships
• Technical Skills:
• Scripting: Strong proficiency in Python (preferred) or Bash/JavaScript
• Cloud Platforms: Familiarity with AWS, GCP, or Azure – we're open to learning!
• Workflow Orchestration: Some experience with tools like Airflow, GitHub Actions, or similar
• API Understanding: Basic understanding of REST APIs and their use in data integration
• Soft Skills:
• Problem-Solving: A proactive attitude and the ability to investigate and resolve technical issues
• Communication: Clear and concise written and verbal communication skills
• Organization: Ability to manage multiple tasks and prioritize effectively
• Learning Agility: A genuine desire to learn new technologies and adapt to changing priorities

Desirable

• As a Data Engineer, you’ll be involved in a wide range of activities, including:
• Automation & Tooling:
• Design, build, and maintain internal tools and scripts to optimize engineering workflows. Examples include Slack bots for alerts, custom CLI utilities for deployment, and automated data validation to ensure data integrity across systems
• Technical Project Coordination:
• Support the implementation of small-scale migrations, updates, and infrastructure changes. Work closely with senior engineers to ensure smooth project execution
• Compliance & Security:
• Contribute to automated compliance and security initiatives, such as monitoring audit logs and supporting penetration testing activities
• Collaboration:
• Partner with infrastructure, data, and security teams to identify bottlenecks and build tailored automation solutions that enhance team efficiency and reduce manual work