Senior Backend Data Engineer
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Job Description
Senior Backend Data Engineer enhancing web-scale data ingestion and processing systems for a social data company. Leading efforts in API development and leveraging cloud technologies.
Responsibilities:
- Build our enterprise grade APIs: Our platform encompasses a broad spectrum of use-cases across a variety of domains. We need you to help build the APIs, backend services and data stores to empower our customers.
- Ship commercial solutions: Our users have a huge job to do, at a massive scale. So, we need to build tremendous, powerful software that just works.
- ML and big data in real life: Data and ML are at the core of what we do, and we are operationalizing them so that risk & intel, communications, and marketing teams at large companies and organizations can unlock their power.
Requirements:
- Strong Industry Experience: Shown a steady upward career progression in the art of Software Engineering.
- Complex Architectures: Design, implement, and maintain platforms, engines, or frameworks that others consume.
- Deliver APIs consumed by modern web applications with an understanding of the complexities and nuances of microservices and databases.
- Distributed compute & big data: You've worked with distributed compute, and have tackled the performance challenges of large scale data.
- You've used serverless AWS components as building blocks like API Gateway, Lambda, Cognito, and DynamoDB.
- Modern Backend Expertise: Build backend services and systems with languages like Python, Rust, or Go, and understand the complexities and nuances of CRUD, Graph API, and microservices.
- CS Fundamentals: Earned at least a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent.
Benefits:
- Unlimited PTO
- Company holidays
- 100% employer-paid employee health premiums (50% for dependents)
- 401(k)
- FSA
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