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Staff Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)Varicent • United States
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Staff Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent
  • US
    United States
  • US
    United States
Apply Now

About

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.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
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 infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.
What You Bring Technical Expertise
7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands‑on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.
Collaboration & Communication
Strong business-level English proficiency to communicate effectively with cross‑functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.
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.
Candidates selected for this position will be hired directly by Varicent. This role requires employees to work within Eastern Standard Time (EST) business hours; while we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours accordingly. This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location.
Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accommodations@varicent.com. Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact.
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  • United States

Languages

  • English
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