Senior Data Engineer, Apollo.io

• Excellent communication skills to work with engineering, product, and business owners to develop and define key business questions and build data sets that answer those questions
• Self-motivated and self-directed
• Inquisitive, able to ask questions and dig deeper
• Organized, diligent, and great attention to detail
• Acts with the utmost integrity
• Genuinely curious and open; loves learning
• Critical thinking and proven problem-solving skills required
• Proven experience leveraging AI tools to enhance software development processes, including code generation, debugging, and productivity optimization
• Candidates should demonstrate fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies
• 5+ years experience in platform engineering, data engineering or in a data facing role
• Experience in building data applications
• Deep knowledge of data eco system with an ability to collaborate cross-functionally
• Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)

Desirable

• As a Senior Software Engineer, you will play a key role in designing and building the foundational data infrastructure and APIs that power our analytics, machine learning, and product features
• You’ll be responsible for developing scalable data pipelines, managing cloud-native data platforms, and creating high-performance APIs using FastAPI to enable secure, real-time access to data services. This is a hands-on engineering role with opportunities to influence architecture, tooling, and best practices across our data ecosystem
• Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
• Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
• Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
• Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
• Monitor and ensure the health, quality, and reliability of data flows and platform services
• Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
• Continuously evaluate and integrate new tools and technologies to improve platform capabilities
• Contribute to architectural discussions, code reviews, and cross-functional projects
• Document your work, champion best practices, and help level up the team through knowledge sharing