Cognite
Industrial Digitalization
SoftwareEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer at Cognite. Skills: Distributed systems, Data pipelines, Low-latency APIs, Data processing. Build high-performance data pipelines. Develop low-latency APIs”
What You'll Achieve.
Unlock $100B in customer value by 2035; Redefine how global industry works; Accelerate digital transformation; Drive operational improvements
Industry & Context.
Solve the world’s hardest problems; Solve highest-impact problems; Translate complex industrial data problems
What They're Looking For.
Must Have
3–6 years of experience in distributed data systems, backend engineering, or platform engineering, programming skills in Scala, Java, or Python, Experience with cloud platforms (AWS/GCP/Azure) and data lake/object storage
Nice to Have
Prior experience with large-scale data, OLAP systems, or industrial/IoT data is a plus, Contributions to open-source or experience in industrial data/AI platforms is an added advantage
What You'll Do.
Build high-performance data pipelines
Develop low-latency APIs
Optimize data storage and retrieval
Engineer distributed processing solutions
Design data lake architectures
Optimize OLAP query performance
Build fault-tolerant systems
Drive technical innovation
Collaborate with product teams
Translate data problems into solutions
How You'll Work.
Team & Collaboration
Collaborate with product and architecture teams; Collaborate with engineering, product, and platform teams
Full Job Description
What Cognite is: Relentless to achieve 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. About The Role We're seeking a Software Engineer who excels at building high-performance distributed systems and thrives in a fast-paced startup environment. You'll be working on cutting-edge data infrastructure challenges that directly impact how Fortune 500 industrial companies manage their most critical operational data. How you’ll demonstrate Ownership Build high-performance data pipelines using Spark, Flink, and Kafka to process terabyte-scale industrial datasets. Develop low-latency APIs and services supporting thousands of concurrent users with sub-second response times. Optimize time-series, sensor, and operational data storage and retrieval for massive scale. Engineer distributed processing solutions, including real-time streaming that handles millions of events per second. Design and evolve cost-efficient data lake architectures (S3/GCS) using modern formats like Parquet/ORC. Optimize OLAP query performance across systems such as ClickHouse, Pinot, or Druid. Build fault-tolerant, highly-available systems with circuit breakers, retries, and distributed tracing. Drive technical innovation through research, prototyping, and contributions to open-source. Coll
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