{"id":960185,"url":"https://alion.io/job/cisco-systems-data-engineer-9","title":"Data Engineer","company":{"id":90,"name":"Cisco Systems","domain":"cisco.com","url":"https://alion.io/company/cisco-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":253,"ghost_share":0.047,"stale_share":0.49,"repost_share":0.083,"time_to_fill_p50_days":26,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Flink","optional":false},{"name":"Spark","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Java","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-16T09:00:39Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-04T19:10:31Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Meet the Team\nCisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application.\nOur technology powers industry-leading products like Slido, Webex Meetings, Webex Calling, and Webex Contact Center. As a member of our team, your work will ensure every user gets a truly immersive experience regardless of device or location, empowering the hybrid working patterns of the future.\nOur team is based in Bratislava. We operate a hybrid working model.\nYour Impact\nAs a Data Engineer, you will contribute to the design, implementation, and maintenance of scalable data pipelines. You will work closely with senior engineers to build robust, efficient solutions for streaming and batch processing, gaining hands-on experience with our production tech stack. Your work will directly impact the insights available to our partners through Partner Hub Analytics, helping them optimize their operations and improve their experience.\nKey Responsibilities\nDesign, implement, and maintain data pipelines for both streaming and batch processing with guidance from senior team members.\n\nDevelop and optimize data workflows using Apache Pinot, Apache Iceberg, Flink, and Spark.\n\nParticipate in the full software development lifecycle, including design discussions, code reviews, and testing.\n\nImprove data pipeline performance, reliability, and observability by identifying and resolving technical issues.\n\nLeverage AI coding tools (e.g., Copilot, Cursor) to accelerate your productivity and learning.\n\nCollaborate closely with software engineers, product management, and data teams.\n\nParticipate in incident resolution and learn from production issues through postmortems.\n\nCommit to continuous learning, data quality, and operational excellence.\n\nMinimum Qualifications\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience.\n\n3+ years of professional data engineering or software engineering experience (or equivalent internship/project experience).\n\nFoundational knowledge of data processing frameworks (e.g., Spark, Flink) and/or distributed systems.\n\nSolid understanding of software development and architecture concepts with a willingness to learn new technologies quickly.\n\nPreferred Qualifications\nFamiliarity with Apache Pinot, Apache Iceberg, Flink, or Spark.\n\nFamiliarity with Java, Python, or Scala.\n\nFamiliarity with Git, CI/CD pipelines, and cloud environments.\n\nFamiliarity with AI coding tools (e.g., Codex, Cursor, Copilot).\n\nEagerness to learn how to debug and resolve production data issues.\n\nAbility to apply creative skills to complex data problems.\n\nFlexible, thrives in diverse team environments, and communicates clearly and precisely.\n\nStrong attention to detail and a commitment to continuous learning and quality results.\n\nCollab Hiring\nWhy Cisco?\nAt Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.\nFueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. 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