Lead Data Engineer, Python, Typescript

2 days ago

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Varicent

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SaaS • Artificial Intelligence • Finance

Varicent is a leading provider of sales performance management and incentive compensation solutions. The company empowers organizations to drive revenue growth through optimized sales plans, incentive strategies, and data insights. By leveraging artificial intelligence, Varicent enhances decision-making and offers integrated solutions tailored for industries such as financial services, telecommunications, and media. Their platform supports dynamic sales planning, system integrations, and provides essential resources to manage sales performance effectively. Varicent is committed to protecting customer data and fostering growth with a strong focus on technology and strategy.

501 - 1000 employees

☁️ SaaS

🤖 Artificial Intelligence

💸 Finance

📋 Description

• Design and build new features for our REST APIs and large-scale data processing pipelines using Python, Typescript, Spark, and AWS-native services. • Architect, optimize, and scale backend services to support high-throughput and low-latency workloads. • Collaborate closely with senior engineers, architects, DevOps, and QA teams to deliver high-quality features end-to-end. • Improve system performance, reliability, and scalability across our distributed services. • Mentor junior developers, lead code reviews, and raise the overall engineering bar. • Automate deployments and CI/CD using Infrastructure-as-Code (Terraform, Serverless Framework) and Kubernetes-based workflows. • Work hands-on with big data, event-driven architectures, and data-intensive applications.

🎯 Requirements

• 5+ years of experience in backend or full-stack engineering roles (strong backend focus). • 5+ years of hands-on experience with Python building APIs, automation, or data pipelines. • 3+ years with Typescript (Node.js, server-side frameworks, or API development). • Advanced experience with AWS (EC2, EKS, Lambda, S3, RDS, DynamoDB, Step Functions, etc.). • Strong expertise in Kubernetes, with a must-have experience deploying, operating, or optimizing workloads on K8s. • Experience with large-scale data processing, distributed computing, or batch/stream processing (Spark, EMR, Glue, Dask, Kafka, etc.). • Understanding of system design, scalability patterns, microservices, and cloud architecture. • English communication skills and the ability to work effectively in cross-functional teams. C1 English level or higher is required.

🏖️ Benefits

• Market Leading Compensation Package. • Wellness Programs to Support Health and Wellbeing. • Working with the latest tools and technologies in a fast-paced environment. • Remote Work Flexibility. • Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance. • Annual Time Off: Time off is provided in accordance with applicable legislative requirements. • Global Connected Culture: Hubs in Romania, UK, US, Canada. • Dynamic Work Culture: Thrive in our innovative and multicultural environment. • Grow with Us: Continuous development opportunities.