Senior Data Engineer, Apollo.io
$156-195k
AI sales platform for smarter, faster revenue growth
Open for applications
AI sales platform for smarter, faster revenue growth
1001+ employees
Open for applications
$156-195k
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
- Proven experience leveraging AI tools to enhance software development processes, including code generation, debugging, and productivity optimization
- Candidates should demonstrate fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies
- 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 Software 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
Today, businesses are struggling to make their go-to-market (GTM) strategies simple, connected, and intelligent. In most organizations, sales and marketing teams juggle a maze of disconnected tools just to reach the right customers and close deals. This results in a lot of manual work and missed opportunities. So Apollo.io is stepping in to fill the gap and redefine how modern revenue teams operate by unifying the entire GTM process under one AI-powered roof.
It's trusted by millions of users and over 550,000 companies, including fast-growing startups to established enterprises like Autodesk and Cyera. Apollo's strength lies in combining B2B data with advanced AI to automate everything from prospecting and outreach to deal management and data enrichment. And its new "Agentic End-to-End GTM Platform" takes this one step further by introducing AI agents that act as co-pilots, working alongside sales and marketing teams to research leads, personalize outreach, and streamline workflows.
Recently, the company surpassed $100M in annual recurring revenue, expanding its leadership team with veterans from Zendesk, Intercom, Box, and Miro, and even launched a major product overhaul centered on its new "Vibe GTM" approach. And with its Agentic platform now bringing AI into every stage of the customer journey, Apollo sure is positioning itself to define the next era of AI-powered sales.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
75% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2023
$100m
SERIES D
Mar 2022
$110m
SERIES C
Total funding: $251.4m
Company benefits
- Remote & in-person roles: Work from wherever you thrive, with all the tools and support you need to be successful.
- Flexible time off: We don't count vacation days. When you need a break, take it — no strings attached.
- Competitive pay: We offer strong salaries, performance bonuses, and equity opportunities for most roles.
- Global healthcare coverage: Medical, dental, and vision benefits are available in the US, Canada, India, and other supported countries.
- Office and learning stipend: Get support for your growth with stipends for books, courses, and home office setup.
- Mental health and coaching support: Access professional coaching and mental health resources for you and your dependents.
Company HQ
SoMa, San Francisco, CA
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