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Cognite is a leader in industrial digitalization, building AI and data solutions for the world's hardest, highest-impact problems. The company operates at the forefront of industrial AI with a comprehensive suite of capabilities including low-code AI agents, serving critical industries such as Oil & Gas, Power & Utilities, Energy, and Manufacturing.
As a Data Engineer II, you will join a dynamic team committed to creating cutting-edge solutions that significantly impact these industries. You'll work alongside industry leaders, solution architects, data scientists, and project managers to deploy and optimize digital solutions that empower clients to make informed business decisions.
Key responsibilities include:
- Lead the design and implementation of scalable and efficient data engineering solutions using the Cognite Data Fusion platform
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python/Java, and REST APIs
- Create custom data models for data discovery, mapping, and cleansing
- Collaborate with data scientists, project managers, and solution architects on project deliveries
- Conduct code reviews and implement best practices to ensure high-quality, maintainable code
- Support customers and partners in conducting data engineering tasks with Cognite products
- Contribute to the development of Cognite's official tools and SDKs
- Work with Engineering and Product Management teams to translate customer needs into prioritized product offerings
Cognite operates with a flat structure, direct access to decision-makers, and a highly modern working environment. The company has a global presence spanning Phoenix, Houston, Oslo, Tokyo, Bengaluru, and Abu Dhabi, with 60 different nationalities represented.
REQUIREMENTS:
- Minimum 3–5 years of relevant experience in a customer-facing, data-intensive role
- Bachelor's or Master's degree in Computer Science or similar field
- Experience delivering production-grade data pipelines using Python, SQL, and REST APIs
- Experience with distributed computing such as Kubernetes and managed cloud services (GCP and/or Azure)
- DevOps mindset with experience in Git, CI/CD, and deployment environments
- Ability to work independently and investigate/solve problems
- Enjoys working in cross-functional teams
