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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Data Services - **Company:** Cloudera, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Airflow, C++ (Programming Language), Cloud Engineering, Data as a Services, Information Engineering, Data Infrastructure, Distributed Systems, Python (Programming Language), Open Source Technology, OpenShift, Performance Tuning, Cloudera, Software Engineering, Workflow Management Systems, Apache Spark, Kubernetes, Information Technology, Rancher, Celery, Data Pipelines, Scheduling Algorithms - **Published:** June 4, 2026 - **Apply:** https://cloudera.wd5.myworkdayjobs.com/External_Career/job/US-Massachusetts-Remote/Staff-Software-Engineer---Data-Services_260841-1 ## About the Role * BS or MS in Computer Science or a related technical field. * 10+ years of professional software engineering experience, with a heavy emphasis on data infrastructure, workflow orchestration, and distributed systems. * Deep, production-proven experience architecting, scaling, and extending Apache Airflow (e.g., custom operators, hooks, providers, Celery/Kubernetes executors, and security models). * Strong understanding of Python (essential for Airflow development) and at least one compiled language such as Java, Scala, C++, or Go. * Deep expertise in cloud-native architectures, specifically running stateful and stateless workloads on Kubernetes (EKS, AKS, GKE) and/or private cloud environments (OpenShift, Rancher). * Strong understanding of large-scale systems design, scheduling algorithms, resource allocation, and performance tuning. * Exceptional communication skills, an open-minded attitude, and a passion for clean code, technical quality, and mentorship. ## Description We are seeking a Staff Software Engineer with deep expertise in data infrastructure and a strong focus on Apache Airflow to lead the orchestration and workflow engineering experience within Cloudera Data Engineering (CDE). In this high-impact, Individual Contributor (IC) role, you will be a key technical driver shaping how thousands of enterprise customers worldwide design, schedule, and monitor complex, multi-tenant data pipelines. You will help execute the architectural vision for scaling Airflow natively within Kubernetes across multi-cloud and on-premises environments, ensuring it seamlessly integrates with Spark and modern Lakehouse (Iceberg) architectures. As a Staff Software Engineer you will: * Drive the multi-year technical roadmap and architectural vision for enterprise-grade Apache Airflow within Cloudera Data Engineering. * Design and optimize highly available, secure, and multi-tenant Airflow environments capable of managing complex dependencies and scheduling workflows across thousands of distributed cluster nodes. * Gain and apply deep technical knowledge across the CDE stack, with a primary focus on extending Airflow, integrating it with Spark and Iceberg, and contributing back to the open-source community where applicable. * Foster a culture of technical excellence through hands-on technical mentorship, rigorous design reviews, and robust architectural guidance for distributed workflow execution. * Collaborate closely with product management, engineering leaders, and cross-functional partners to deliver critical features that make workflow automation seamless and intuitive for CDE customers. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Walking into the era of Supply Chain Risks](https://www.wearedevelopers.com/videos/376-walking-into-the-era-of-supply-chain-risks) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Is Software Engineering Hard?](https://www.wearedevelopers.com/magazine/448-is-software-engineering-hard) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)