Job Location: Remote
About Apollo.io:
Founded in 2015, Apollo.io is a lead intelligence and sales engagement platform trusted by nearly 9,000 paying customers, from rapidly growing startups to some of the largest global enterprises. Our community-based approach to crowdsourcing data gives users maximum coverage while ensuring data accuracy. Our advanced algorithms and unique data acquisition methods help over 500,000 sales professionals enrich and analyze prospects’ data to increase quality conversations and opportunities.
We have notable investors: Y Combinator and Nexus Venture Partners. We recently completed a Series B financing to fuel our next growth phase. The round was led by Tribe Capital, with participation from NewView Capital and existing investor Nexus Venture Partners. In conjunction with the funding, Sri Pangulur, partner at Tribe Capital, joined Apollo.io’s board. We have reached and maintained profitability for the last 18 months.
Our growth and customer feedback set us apart from competitors. Apollo had over one million sign-ups for its platform in the past year, and the number of weekly active users increased by over 400%. We are a top-ranking G2 Crowd vendor in the Sales Intelligence, Lead Intelligence, Marketing Account Intelligence, and Sales Engagement categories. Our highest scores are in the B2B data space for accuracy and ROI based on customer reviews.
Working at Apollo.io
We are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward.
YOUR ROLE AND 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/RESPONSIBILITIES:
- Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity.
- Implement automated monitoring, alerting, 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, contributes to 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:
- Excellent communication skills to work with engineering, product, and business owners to develop and define key business questions and build data sets that answer those questions.
- Self-motivated and self-directed
- Inquisitive, able to ask questions and dig deeper
- Organized, diligent, and great attention to detail
- Acts with the utmost integrity
- Genuinely curious and open; loves learning
- Critical thinking and proven problem-solving skills required
QUALIFICATIONS:
Required:
- Experience working in data pipelines and data warehouses
- 5+ years experience in data engineering or in data facing role
- Deep knowledge of data warehousing with an ability to collaborate cross-functionally
- Excellent in data structures and algorithms skills
Preferred:
- Bachelor’s degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
- Experience using the Python data stack
- Experience deploying and managing data pipelines in the cloud
- Experience working with technologies like Airflow, Hadoop and Spark
- Understanding of streaming technologies like Kafka, Spark Streaming
What You’ll Love About Apollo
Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees’ careers. The team embraces that we have a sole purpose: to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. You’ll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator. We’re very collaborative at Apollo, so you’ll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. You’ll be supported and encouraged to experiment and take educated risks that lead to big wins. And, you’ll have a whole team remotely by your side to help you do it!
Job Type: Full-time
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