Proactively identify risks and opportunities to make them actionable insights for brand, security, and government teams

Senior Backend Data Engineer

Backend EngineerSoftware EngineerFull TimeRemoteTeam 11-50H1B SponsorCompany Site LinkedIn

Location

United States

Posted

43 days ago

Salary

$150K - $240K / year

Bachelor DegreeEnglishAWSDynamo DBMicroservicesPythonRustGo

Job Description

• 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. Doing so requires versatile, yet opinionated products - which require versatile, but opinionated engineers.

Job 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.
Collaborate closely with product and sales teams to translate complex business needs into intuitive, performant tools.
Provide technical leadership and mentorship to a small but growing engineering team, setting coding standards, guiding architectural decisions, and fostering a culture of collaboration and innovation.