Data Engineer (Remote)

San Francisco

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Posted 2 weeks ago

The Company is building the most data-rich, intelligent sales platform on the market, and with over 5000+ paying customers, our platform is at an exciting segment of its development. So far, we have built a database of 250 million business contacts and 20 million companies, and our platform offers features such as a built-in fully customizable scoring engine, full sales engagement stack, and deep analytics suite. We empower companies to scale up their sales operations through our full-service platform, allowing our customers to be more efficient and to improve their revenue generation.
We are backed by Silicon Valley investors such as Y Combinator, Nexus Venture Partners, SV Angel, and Social Capital. We're headquartered in San Francisco, CA with a brilliant worldwide remote team. 
The Role & Mission 
As a data engineer you will be responsible for maintaining and operating the data warehouse and connecting in Apollo’s data sources. You will surface the data in a visualization tool and build innovative data & analytics functionality that drives Apollo’s strategy and is core to our success.
Competencies/Key Traits
• Extremely high EQ & empathy• Self-motivated and self-directed• Inquisitive, able to ask questions and dig deeper• Organised, diligent, and high attention to detail• Excellent communication skills to build strong, productive relationships cross functionally with all stakeholders• Organised, diligent, and has a high attention to detail• A systems thinker • Driven and hungry• Acts with utmost integrity• Genuinely curious and open; loves learning• High bar of excellenceAbility to understand GTM strategy and apply it to your analysis• Critical thinking and proven problem solving skills required
Role & Responsibilities
• Create and maintain tools supporting self-service data pipeline management• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources• Build and maintain data pipelines from internal databases and SaaS applications• Write maintainable, performant code• Collaborate with other teams to ensure data needs are addressed• Maintain and expand data infrastructure for the business at scale• Maintain our data warehouse with timely, high quality data 
Skills & Relevant Experience
Required:• Experience in data modeling, data warehousing, and building ETL pipelines• Experience with Self Service technologies like Looker (preferred) or Tableau, Quick Sight etc and previous experience with Data Warehouse technologies• Deep knowledge of data warehousing and Business Intelligence with an ability to collaborate cross functionally• Familiarity with ML technologies• Strong business understanding of  Business Intelligence & Reporting, knowledge in Operations and Finance area is a plus• Experience using various data stores (Postgresql)
Preferred:• Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)• 3+ years experience in data engineering or a similar role• Experience using the Python data stack• Experience deploying and managing data pipelines in the cloudWhy Apollo? 
This role is available from anywhere in the world. As we are scaling our company, we are committed to providing the best possible environment for our team. Not only do we offer a competitive salary and benefits, informal, fun, and remote working environment, but we also ensure that our team is constantly learning and following best practices as they advance in their careers. A forward thinking company that believes in hiring A-Players and giving them the guidance, coaching and autonomy to maximise impact and work towards their career goals.
Our work environment is highly diverse with a global remote team, and we are intentional in building an inclusive culture where everyone is able to be the best version of themselves and where ideas are encouraged. We're a technology-first team dedicated to building the greatest engagement software available and we're building a long-term company, and we want you to be a part of that growth and help scale the organisation and its talent!
If this type of work sounds interesting to you and you have the necessary experience and qualifications, - please apply and we hope to talk to you soon!
Job tags: Business Intelligence Data pipelines Data Warehousing Engineering ETL Finance Looker ML Python Tableau
Job region(s): North America Remote/Anywhere
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