Principal Software Engineer – Spark

🕒 May 20

🏢🏡 San Jose – Hybrid

💵 $270k - $320k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Drive the multi-year technical roadmap and architectural vision for Cloudera Data Engineering • Gain deep technical knowledge across the data services technical stack, with a focus on Spark, Airflow, Iceberg • Foster engineering excellence through technical mentorship, design reviews, and architectural guidance • Collaborate with product, engineering, and cross-functional partners • Work on large-scale distributed systems, impacting thousands of customers worldwide

🎯 Requirements

• Relevant studies / BS or MS in Computer Science or related field • 10+ years of experience as a Software Engineer in the data infrastructure space • Strong understanding of at least one of the following languages: Java, Scala, C++, Python, GoLang • Passionate about programming, clean coding habits, attention to detail, and focus on quality • Deep expertise in distributed data processing systems and cloud-native architectures • Excellent communication and collaboration skills • Experience with containerization (Kubernetes, Docker) • Experience with using/developing Apache Spark/Airflow or other related technologies • Experience with public cloud (AWS/Azure/GCP) and/or private cloud (OpenShift/Rancher)

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups