Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science, Data Science, or a related field, and have at least 5 years of experience as a Data Engineer, with a strong focus on building and maintaining data pipelines. Experience with cloud platforms such as AWS or Google Cloud is required, along with proficiency in SQL and Python. Familiarity with data warehousing concepts and technologies is also essential.
As a Staff Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, building new integrations to accommodate increasing data volume and complexity, implementing automated monitoring and alerting systems, ensuring data quality through monitoring and validation processes, writing unit and integration tests, documenting work, defining company data models, and collaborating with business units and engineering teams to develop a long-term data platform strategy.
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.