Senior Data Engineer

March 19

🏡 Remote – New York

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Logo of Apollo.io

Apollo.io

Helping sales teams find their ideal buyers and convert them into customers.

Sales Engagement • Lead Generation • Predictive Analytics • Lead Scoring • Sales Strategy

51 - 200

Description

• Responsible for maintaining and operating the data warehouse and connecting in Apollo’s data sources • Develop and maintain scalable data pipelines and build new integrations • Implement automated monitoring, alerting, and self-healing features • Implement processes to monitor data quality • Define company data models and populate data warehouse • Work with business and engineering teams on long-term data platform architecture

Requirements

• 5+ years experience in data engineering or data-facing role • Experience in data modeling, data warehousing, and building ETL pipelines • Deep knowledge of data warehousing with cross-functional collaboration • Bachelor's degree in a quantitative field • Preferred experience with Python data stack, cloud data pipelines, Airflow, Hadoop, Spark, Kafka, and Spark Streaming

Benefits

• Great compensation package • Culture that thrives in openness and excellence • Investment in developing remote employees’ careers • Lean, remote team empowered to own roles • Creative approaches to customer success • Collaborative environment • Supportive team for experimentation and risk-taking

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