Senior Data Engineer
Built Technologies- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in data engineering, with a focus on building and maintaining data platforms. Strong experience with cloud-native data technologies, such as AWS, GCP, or Azure, is required, along with proficiency in data pipeline development and API design. Familiarity with FastAPI and experience with data modeling and database technologies are also necessary.
As a Senior Data Platform Engineer, you will architect and build robust, scalable data pipelines to support various use cases, develop and maintain high-performance APIs using FastAPI, design and manage cloud-based data infrastructure, collaborate with cross-functional teams to translate requirements into engineering solutions, monitor and ensure the health and reliability of data flows, implement observability and alerting, evaluate and integrate new tools and technologies, contribute to architectural discussions and code reviews, and document your work while championing best practices.
Sales intelligence and engagement platform
Apollo.io provides a platform designed to enhance sales processes and improve outreach for businesses. Its main features include prospecting intelligence, which helps users identify and research potential leads, and enrichment job change alerts that keep databases accurate with extensive data points. The platform also offers sales engagement analytics, allowing users to create multi-channel outreach sequences. Additionally, Apollo.io supports API integrations for data enrichment and custom workflows. Unlike many competitors, Apollo.io focuses on a subscription-based model that offers various pricing tiers, catering to both small businesses and large enterprises. The company's goal is to optimize sales strategies and increase revenue for its clients while ensuring data privacy and security through compliance with industry standards.