Senior Data Engineer

Position Overview

• Location Type: Not specified
• Employment Type: Permanent EoR (Employee of Record)
• Salary: Not specified

Apollo.io is a leading go-to-market solution for revenue teams, trusted by over 500,000 companies globally. The company provides sales and marketing teams with verified contact data and tools to engage and convert prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors.

Your Role & Mission

As a Senior Data Engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollo’s data sources.

Daily Adventures and Responsibilities

• Develop and maintain scalable data pipelines and build new integrations to support increasing data volume and complexity.
• Implement automated monitoring, alerting, and self-healing (restartable/graceful failures) features while building consumption pipelines.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
• Write unit/integration tests and contribute to engineering wiki documentation and work documentation.
• 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

• Excellent Communication Skills: Ability to work with engineering, product, and business owners to develop and define key business questions and build data sets to answer those questions.
• Self-Motivated & Self-Directed: Ability to work independently and take initiative.
• Inquisitive: Able to ask questions and dig deeper into problems.
• Organized & Detail-Oriented: Strong organizational skills and attention to detail.
• Integrity: Acts with the utmost integrity.
• Curious & Open: Genuinely curious and open to learning.
• Critical Thinking & Problem-Solving: Proven problem-solving skills.

Skills & Relevant Experience

• Required:
  • 5+ years experience in data engineering or a data-facing role.
  • Experience in data modeling, data warehousing, and building ETL pipelines.
  • Deep knowledge of data warehousing and the ability to collaborate cross-functionally.
  • Bachelor’s degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics).
  • Proven experience leveraging AI tools, demonstrating fluency in integrating AI-driven solutions into workflows and a willingness to stay current with emerging AI technologies.
• Preferred: Not specified

Application Instructions

Not specified