Copy of Senior Backend Data Engineer

Pendulum offers unmatched social data coverage, ensuring companies never miss conversations they care about across video, audio, image, and text content – including YouTube, TikTok, Instagram, Snapchat, podcasts, Reddit, and more. Based on proprietary machine learning (ML) technology, the Pendulum Intelligence platform has the most comprehensive social media coverage to help enterprise brands proactively identify opportunities and mitigate risks, enabling better decision-making across the organization.

We are deeply inspired by our mission, motivated by solving hard technical problems, and obsessed with our customers. Fulfilling our mission demands bringing together a team with a broad range of backgrounds and experiences. Diverse teams are the strongest teams because their plurality of experience enriches and expands the solution space and enriches decision-making. Diversity and inclusion are therefore core to our values and at the forefront of our hiring philosophy and day-to-day operations.

About the role

We are currently seeking a Senior Backend Data Engineer who can help drive the efforts to extend our web-scale data ingestion and processing pipeline. As part of this team, you will work as a tech leader and subject matter expert to improve the scalability, robustness, and value of our data ingestion and processing pipeline while leveraging the latest cloud technologies and AI / ML models.

• 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.

• 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.

• Grow as a professional by working with emerging technologies in a high-demand industry segment
• Drive company direction at a company that encourages input from all levels to help shape our trajectory
• Experience working at a technology company in which the mission focus is on tackling one of society’s greatest challenges
• Learn from industry and government experts who value initiative and encourage innovation
• Enjoy the flexibility to work remotely, unlimited PTO, company (and two personal-choice) holidays
• Receive excellent benefits, including 100% employer-paid employee health premiums (50% for dependents), 401(k), and FSA

The Senior Backend Engineer / Data Engineer position offers a base salary range of $150,000 to $240,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.