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Data Engineer – Backend

Sundayy

📍 United States, US0💼 Full-time🕐 5/24/2026
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Role overview

Sundayy is hiring for the Data Engineer – Backend role in United States, US. It is full-time, Mid-level level, in the Tech sector. It was posted 5/24/2026.

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Role
Data Engineer – Backend
Company
Sundayy
Location
United States, US
Work mode
On-site
Employment
Full-time
Seniority
Mid-level
Sector
Tech
Posted
5/24/2026

Description

About The Company Varicent is a leading provider of sales performance management and incentive compensation solutions, dedicated to empowering organizations with innovative tools to optimize their sales processes and drive revenue growth. With a global presence and a commitment to excellence, Varicent leverages cutting-edge technology to deliver scalable, data-driven solutions that meet the evolving needs of modern enterprises. Our culture fosters innovation, collaboration, and continuous learning, making us a trusted partner for organizations seeking to enhance their sales effectiveness and operational efficiency. About The Role We are seeking a highly experienced Staff Software Engineer to join our dynamic team. In this role, you will be instrumental in designing, developing, and scaling large-scale, data-intensive systems that form the backbone of our data platforms and backend services. You will work with massive datasets, build distributed data pipelines, and develop high-throughput, low-latency backend architectures. The ideal candidate will have a deep technical background in backend development, distributed systems, and cloud-native solutions, with a passion for solving complex technical challenges and driving innovation in a fast-paced environment. Qualifications 7+ years of backend or full-stack engineering experience with a focus on backend development 7+ years of hands-on experience with Python, including APIs, automation, and large-scale data pipelines 3+ years of experience working with Typescript and Node.js Advanced knowledge of AWS services such as EC2, EKS, Lambda, S3, DynamoDB, RDS, and Step Functions Strong practical experience deploying and optimizing workloads on Kubernetes Proven expertise working with large datasets, distributed computing, and batch or stream processing frameworks like Spark, Dask, EMR, Glue, Kafka Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture Excellent communication skills with proficiency in business-level English Ability to collaborate effectively with cross-functional teams across regions Responsibilities Design, develop, and scale new features for REST APIs and large-scale data processing pipelines handling high-volume datasets across distributed systems Architect and optimize backend services to ensure high throughput and low-latency performance Develop data-intensive and event-driven applications utilizing Python, Typescript, Spark, and AWS-native services Work with frameworks such as Spark, EMR, Glue, Kafka to process and transform large datasets efficiently Enhance system performance, reliability, and scalability across microservices and cloud infrastructure Collaborate with senior engineers, architects, DevOps, and QA teams throughout the entire development lifecycle Mentor junior developers, conduct code reviews, and promote engineering best practices Automate deployment processes and manage CI/CD pipelines using Terraform, Serverless Framework, and Kubernetes workflows Benefits Market leading compensation package Wellness programs supporting health and wellbeing Opportunity to work with the latest tools and technologies in a fast-paced environment Remote work flexibility from anywhere Comprehensive employee insurance coverage including medical, dental, vision, and life insurance Annual leave in accordance with legislative requirements Global connected culture with hubs in Romania, UK, US, and Canada Dynamic and multicultural work environment fostering innovation Continuous professional development and growth opportunities Equal Opportunity Varicent is committed to creating a diverse and inclusive workplace. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. All qualified applicants will receive consideration for employment. If you require accommodations during the recruitment process, please contact [email protected]. We ensure compliance with all fair employment practices concerning citizenship and immigration status. By applying, you acknowledge that you have read and agree to our Job Applicant Privacy Notice and confirm that the information provided is true and complete.

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