Staff Software Engineer - Octopai
ClouderaHungary > BudapestPosted 19 March 2026
Job Description
Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. About Octopai Octopai is a fast-growing Data Intelligence company (Acquired by Cloudera) that empowers enterprises to understand, trust, and optimize their data. Our platform provides automated data lineage, cataloging, and discovery to accelerate analytics, improve governance, and drive business impact. Role Overview We are looking for a Software Engineer with strong experience in data ecosystems to join our application engineering team. This role focuses on building backend capabilities that integrate with BI tools, data platforms, and metadata-driven systems, enabling scalable analysis, lineage, and insights across complex enterprise environments. As a Staff Software Engineer you will: Design, develop, and maintain backend services that integrate with BI platforms and data systems Build and enhance connectors, ingestion pipelines, and metadata processing logic Work with structured and semi-structured data from BI tools, databases, and data platforms Collaborate closely with Product, Data, DevOps, and QE teams to deliver end-to-end features Ensure scalability, performance, and reliability of data-heavy services Participate in code reviews, design discussions, and architectural decisions Troubleshoot complex customer and production issues related to data extraction and analysis We are excited about you if you have: 5+ years of experience as a Software Engineer / Backend Engineer Strong programming skills in Java / Python / Scala / .Net similar backend languages Hands-on experience with BI systems (e.g., Power BI, Tableau, Looker, OBIEE, SSAS, etc.) Solid understanding of data warehouses, SQL, ETL/ELT concepts Experience working with APIs, microservices, and distributed systems Familiarity with cloud environments (AWS / Azure / GCP) You might also have: Experience with metadata, lineage, or data catalog systems Knowledge of Spark, Databricks, dbt, or big data platforms Exposure to SaaS, multi-tenant architectures Understanding of enterprise security concepts (SSO, RBAC) What you can expect from us: 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 EEO/VEVRAA #LI-RB1 #LI-HYBRID It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our ... (truncated, view full listing at source)
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