Staff Data Engineer (Remote, United States)

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Responsibilities

• 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, and 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.

Competencies

• Customer driven: Attentive to our internal customers’ needs and strive to deliver a seamless and delightful customer experience in data processing, analytics, and visualization.
• High impact: Understand what the most important customer metrics are and make the data platform and datasets an enabler for other teams to achieve improvement.
• Ownership: 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.
• Team mentorship and sharing: Share knowledge and best practices with the engineering team to help up-level the team.
• Agility: Organized and able to effectively plan and break down large projects into smaller tasks that are easier to estimate and deliver. Can lead fast iterations.
• Speak and act courageously: Not afraid to fail, challenge the status quo, or speak up for a contrarian view.
• Focus and move with urgency: Prioritize for impact