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Cognite is looking to solve the problem of insufficient tools and data availability hindering the creation of impact in industrial engineering by leveraging AI and data to transform industrial data and drive better decisions.

Requirements

• Experience in a Data intense role or relevant college course work
• Experience in Oil &Gas or Manufacturing is a huge plus
• Experience working with data technologies, such as: ETL, SQL, Python
• Strong understanding of data analysis or data science
• Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs
• Customize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using Docker
• Create custom data models for data discovery, mapping, and cleansing

Responsibilities

• Design, develop and implement data infrastructure and best-in-class pipelines that collect, connect, centralize and curate data from various internal and external data sources.
• Ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency.
• Partner with Solution Architects to understand client requirements and define queries with subject matter experts
• Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs
• Customize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using Docker
• Create custom data models for data discovery, mapping, and cleansing
• Prototype data visualization and dashboards

Other

• This is a hybrid role working out of our Houston office so candidates must be local or willing to relocate themselves to Houston.
• Ability to work on both internal and external client-facing projects and communicate with key stakeholders
• Ability to travel onsite to meet with and engage with clients -- we don’t build solutions in isolation.
• Role based in Houston, TX or (Austin, TX w/ travel to Houston)
• 4+ years of experience in a Data intense role or relevant college course work