Senior Backend Data Engineer

Remote (United States)

Overview

This opportunity is for a Senior Backend Data Engineer to help extend and scale a web-scale data ingestion and processing platform. This role blends backend engineering, distributed systems, and large-scale data processing, with a strong focus on performance, reliability, and cloud-native architecture.

You will act as a technical leader and subject matter expert, improving the scalability and robustness of ingestion pipelines while leveraging modern cloud technologies and AI/ML-driven systems. This is a full-time, remote (United States) position within the Engineering organization.

Compensation

Base salary range: $150,000–$240,000 per year, depending on experience, qualifications, and location.

Compensation also includes equity and comprehensive benefits.

What You’ll Do

• Extend and optimize large-scale data ingestion and processing pipelines.
• Design and build enterprise-grade APIs, backend services, and data stores that power customer-facing products.
• Deliver production-ready commercial software capable of operating at massive scale.
• Operationalize ML and big data systems to support risk intelligence, communications, and marketing teams.
• Design, implement, and maintain distributed systems, platforms, and reusable frameworks.
• Leverage serverless AWS components such as API Gateway, Lambda, Cognito, and DynamoDB.
• Architect scalable microservices and data systems with a focus on performance and resilience.
• Translate complex business requirements into intuitive, high-performing technical solutions.
• Provide technical leadership and mentorship, setting engineering standards and guiding architectural decisions.
• Collaborate cross-functionally with product, sales, and engineering teams in a fast-paced environment.

Qualifications

• Demonstrated upward career progression in software engineering.
• Experience designing and maintaining complex architectures, platforms, or distributed systems.
• Strong background in distributed computing and large-scale data processing.
• Hands-on experience with AWS services such as API Gateway, Lambda, Cognito, DynamoDB, S3, EC2, and related tooling.
• Proficiency building backend services in Python, Rust, or Go.
• Deep understanding of microservices architecture, CRUD systems, Graph APIs, and database design.
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
• Experience collaborating with cross-functional stakeholders to deliver scalable solutions.
• Ability to mentor engineers and lead technical initiatives in a growing team environment.

Benefits

• Remote-first environment (United States)
• Equity participation
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible PTO and company holidays