Senior Backend Data Engineer

7Seventy; United States; Hybrid; USD 150,000 - 240,000; Full time

Benefits offered by this job

Equity participation

Medical, dental, and vision coverage

401(k) plan

Flexible PTO and company holidays

Job summary

7Seventy is seeking a Senior Backend Data Engineer to extend and scale a web-scale data ingestion and processing platform. You will blend backend engineering, distributed systems, and large-scale data processing with a focus on performance and cloud-native architecture.

You will act as a technical leader, improving ingestion pipelines, designing APIs and data stores, and delivering production-ready software at massive scale.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Distributed systems

Cloud-native engineering

AWS services

Python

Go

Rust

Microservices architecture

Mentoring / leadership

Database design

Graph APIs

Education

Bachelor’s or Master’s degree in Computer Science or Computer Engineering or equivalent experience

Tools

API Gateway

Lambda

Cognito

DynamoDB

S3

EC2

Job description

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.
• Equity participation
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible PTO and company holidays