{"id":2526672,"url":"https://alion.io/job/cognite-data-engineer-ii-2","title":"Data Engineer II","company":{"id":4475,"name":"Cognite","domain":"cognite.com","url":"https://alion.io/company/cognite","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oslo, Norway"],"countries":["NO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":142000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T12:26:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-16T09:36:23Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"What Cognite is:Relentlessto achieve\nCognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.\nWe thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. \nOur Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.\nHow you’ll demonstrate Ownership\nWe're looking for a Data Engineer who is ready to tackle big challenges and advance their career. In this role, you'll join a dynamic team committed to creating cutting-edge solutions that significantly impact critical industries such as Oil & Gas, Power & Utilities, Energy, and Manufacturing. You'll collaborate with industry leaders, solution architects, data scientists and project managers, all dedicated to deploying and optimizing digital solutions that empower our clients to make informed business decisions.\nThe Impactyou bring to Cognite\nLead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion\nDrive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.\nCreate custom data models for data discovery, mapping, and cleansing.\nCollaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.\nConduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.\nSupport customers and partners in conducting data engineering tasks with Cognite products.\nContribute to the development of Cognite’s official tools and SDKs.\nCollaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings\nRequired Qualifications\nMinimum 3-5 years of relevant experience in a customer-facing Data intense role\nBachelor or Master degree in computer science or similar.\nExperience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs\nExperience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure\nHave a DevOps mindset, and experience with Git, CI/CD, deployment environment\nEnjoys working in cross-functional teams\nAble to independently investigate and solve problems\nA snapshot of our many perks and benefits as a Cogniter\n* Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus\n* A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata to know more\n* Flat structure with direct access to decision-makers\n* Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology\n* Join our HUB to be part of the conversation directly with Cogniters and our partners.\n* Get access to private health services with Cognite Care.\n* Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)\n* Our own Cognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.\n* We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.\n* A pet lover? Get the chance to meet Spot at the Robot Garden!\nLearn more about us\nImpact 2025\nCognite's Industrial AI: Moonshot\nWe’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.\n Equal Opportunity\nCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. 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