Senior Data Platform Engineer, Apollo.io
Sales intelligence and engagement platform
Open for applications
Sales intelligence and engagement platform
1001+ employees
Open for applications
1001+ employees
Company mission
To build the future of go-to-market solutions.
Role
Who you are
- 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
- 5+ years experience in platform engineering, data engineering or in a data facing role
- Experience in building data applications
- Deep knowledge of data eco system with an ability to collaborate cross-functionally
- Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Desirable
- 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 the job involves
- As a Senior Data Platform Engineer, you will play a key role in designing and building the foundational data infrastructure and APIs that power our analytics, machine learning, and product features
- You’ll be responsible for developing scalable data pipelines, managing cloud-native data platforms, and creating high-performance APIs using FastAPI to enable secure, real-time access to data services
- This is a hands-on engineering role with opportunities to influence architecture, tooling, and best practices across our data ecosystem
- Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
- Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
- Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
- Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
- Monitor and ensure the health, quality, and reliability of data flows and platform services
- Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
- Continuously evaluate and integrate new tools and technologies to improve platform capabilities
- Contribute to architectural discussions, code reviews, and cross-functional projects
- Document your work, champion best practices, and help level up the team through knowledge sharing
Our take
Apollo's sales intelligence and engagement platform integrates with companies’ existing internal tools, such as LinkedIn, Salesforce and Hubspot, to increase and optimize sales and marketing leads. Rather than simply employing a volume-heavy approach to leads, Apollo’s software allows users to focus on more convertible prospects, while automating task management and workflow.
The company launched in 2015 and grew steadily in its early years, but the period since 2021 has seen it enter a rapid scale up. Now its customer base includes the likes of Autodesk, Stripe, Docusign and Yelp.
Apollo now intends to keep the upward momentum going, having secured major funding in mid-2023 and is also investing heavily in India as its R&D center, where there’s a burgeoning pool of tech talent. In early 2023, Apollo reported record revenue numbers and appointed a new CPO, indicating a solidification of these aims.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
75% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2023
$100m
SERIES D
Mar 2022
$110m
SERIES C
Total funding: $251.2m
Company benefits
- Remote first
- Great compensation package and culture
Company HQ
SoMa, San Francisco, CA
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