Data Engineer II

Cognite - AI for Industry • Houston, TX

2d • Hybrid

About The Position

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. The Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. This role is for someone who sees how data can be used, modeled and visualized in new ways to improve decisions in industrial engineering, but experiences that the tools and data availability is insufficient to create impact. This role will take part in forming what the future of the industry will look like and will be part of the team responsible for delivering Cognite’s cutting edge industry solutions to our customers. As a Senior Data Engineer, located in Houston, Austin or Phoenix, you will 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. You will ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency. You are an experienced engineer with a passion for software development, hands-on in designing, implementing, and delivering features for flagship products.

Requirements

• Applicants must be able to work in the U.S. without sponsorship now or in the future.
• 7+ years of experience in a Data intense role
• Experience in O&G and/or Manufacturing is required
• BS or MS degree in computer science or related field
• Loves to code, passion for coding, and enjoys sharing that knowledge with others
• Strong understanding of data analysis or data science
• Experience working with data technologies, such as: ETL, SQL, Python
• 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
• Role hybrid based in Houston, TX

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.
• Collaborate with product development to turn customer needs into potential product offerings.
• Prototype data visualization and dashboards.

Benefits

• Competitive compensation
• 401(k) with employer matching
• Competitive health, dental, vision & disability coverages for employees and all dependents
• Unlimited PTO
• Paid Parental Leave Program
• Employee Referral Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior