Cognite 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.
We 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.
Our 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.
As a Senior Data Engineer in Cognite, your role will be to create and deliver solutions to the biggest problems challenging our industrial customers today by designing, developing and implementing data infrastructure and best-in-class pipelines that collect and connect data from various data sources. In this role, you will not only be responsible for designing and implementing robust data pipelines and architectures but also have the potential to evolve into a Lead, guiding and mentoring a team of data engineers. You will collaborate closely with cross-functional teams, driving data-driven solutions that enable our clients to make impactful business decisions.
- 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
- Partner with Solution Architects to understand client requirements and define queries with subject matter experts
- Support customers and partners in conducting data engineering tasks with Cognite products
- Optimize for non-functional requirements (E.g. access control, security, disaster recovery, logging, monitoring) to reach necessary service maturity for each solution
- Collaborate with our R&D and Product Management teams to turn customer needs into a prioritized pipeline of product offerings
- Mentor, coach and help recruit junior Data Engineers
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Minimum 6 years of experience in a customer-facing Data intense role
- Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
- Humility to ask for help and enjoy sharing knowledge with others
Preferred Experience
- Experience from heavy asset industry can be nice to have
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Skills Required
- Bachelor’s or master’s degree in computer science or a related field, or equivalent relevant experience
- Minimum 6 years of experience in a customer-facing, data-intensive role
- Experience delivering production-grade data pipelines using Python, SQL, and REST APIs
- Experience with distributed computing, such as Kubernetes
- Experience with managed cloud services such as GCP and/or Azure
- DevOps mindset and experience with Git, CI/CD, and deployment environments
- Ability to work effectively in cross-functional teams
- Ability to independently investigate and solve problems
- Willingness to ask for help and share knowledge
- Experience in the heavy asset industry
Cognite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognite and has not been reviewed or approved by Cognite.
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Affordable Benefits — Healthcare premiums for employees and dependents are often fully covered, reducing out‑of‑pocket costs. Feedback suggests this makes the total rewards feel competitive in key markets.
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Parental & Family Support — Paid parental leave for primary and secondary caregivers is described as generous. This signals a family‑friendly approach that many consider a standout perk.
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Leave & Time Off Breadth — Unlimited PTO with a company‑wide year‑end shutdown offers ample time away from work. Flexible time‑off options are consistently highlighted across U.S. roles.
Cognite Insights
What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies. We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis. We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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