Staff Data Engineer, Apollo.io

• 8+ years of experience in platform engineering, distributed systems, or AI infrastructure
• Proven track record of designing and implementing large-scale, production-grade systems
• Experience leading technical initiatives that span multiple teams and organizations
• Deep understanding of software architecture principles and design patterns
• Strong knowledge of cloud platforms, container orchestration, and microservices
• Bachelor's degree in Computer Science, Engineering, or related technical field
• Strategic thinking with ability to influence and align engineering decisions across the organization
• Exceptional communication skills for collaborating with engineering leadership, product, and business stakeholders
• Self-motivated with demonstrated ability to lead complex, multi-team initiatives
• Excellent analytical skills to evaluate and solve complex technical challenges
• Strong technical leadership with proven track record of mentoring engineers
• Demonstrated experience establishing engineering best practices and systems thinking
• Exceptional attention to detail and commitment to high-quality deliverables
• Ability to navigate ambiguity and drive technical clarity in complex problem spaces
• Proficiency in leveraging AI tools to enhance productivity and engineering workflows

Desirable

• As a Staff Data Engineer, you will be responsible for maintaining and operating the data platform that caters to machine learning workflows, analytics and powers some of the products offered to Apollo customers
• Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity
• Develop and improve Data APIs used in machine learning / AI product offerings
• Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while building the consumption pipelines
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available
• Write unit/integration tests, contribute to the engineering wiki, and document work
• Define company data models and write jobs to populate data models in our data warehouse
• Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture
• Understand what the most important customer metrics are and make the data platform and datasets an enabler for other teams to achieve improvement
• Take ownership of team-level projects/platforms from start to finish, ensure high-quality implementation, and move fast to find the most efficient ways to iterate
• Share knowledge and best practices with the engineering team to help up-level the team
• Prioritize for impact and move quickly to deliver experiments and features that create customer value