Staff Data Engineer (Guadalajara)

Staff Data Engineer (Guadalajara)

09 sep
|
Varicent
|
Guadalajara

09 sep

Varicent

Guadalajara

At Varicent, we're not just transforming the Sales Performance Management (SPM) market—we're redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the _2025 Forrester Wave Report for SPM_, _2023 Ventana Research Revenue Performance Management (RPM) Value Index_, _Gartner Peer Insights_, _2024 Gartner SPM Market Guide_, and _G2. _Our solutions are trusted by a diverse range of general industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here's why you'll thrive at Varicent:
- Innovate with Purpose: Build impactful solutions for customers worldwide.:
- Join Excellence: Work in a diverse, collaborative, and innovative team.:
- Shape the Future: Lead in redefining revenue optimization.:
- Grow Together: Unlock your potential in a supportive environment.





Join us at Varicent—where your talent and ambition meet limitless opportunities for success

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You'll Do:
- Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
- Architect and optimize backend services for high throughput and low-latency performance.
- Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
- Improve system performance, reliability, and scalability across microservices and cloud infras

📌 Staff Data Engineer (Guadalajara)
🏢 Varicent
📍 Guadalajara

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