Senior Data Engineer — Industrial AI & Data Pipelines

Greenhouse Software, Inc.; Houston (TX); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

401(k) with employer matching

Health, dental, vision & disability

Job summary

Cognite in Houston, TX is seeking a Senior Data Engineer to design, build, and deploy data pipelines that collect and centralize data from diverse sources. You will partner with a multidisciplinary team to improve data reliability and enable smarter decisions across industrial data assets.

You will develop extractors with Python, Spark, and REST APIs, customize SQL and Kafka-based pipelines, and contribute to data models and dashboards in a hybrid role based in Houston.

Qualifications

• 7+ years of experience in a data-intensive role
• Experience in O&G and/or Manufacturing is required
• BS or MS degree in computer science or related field

Responsibilities

• Partner with Solution Architects to understand client requirements and define queries
• Develop custom extractors using backend technologies and languages such as Python, Spark, REST APIs
• Customize existing extractors using SQL, event streaming with Kafka and deploy with 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

Skills

Data engineering

Python programming

SQL

Data pipelines

Communication with stakeholders

Education

BS or MS in computer science or related field

Tools

Python

Spark

REST APIs

SQL

Kafka

Docker

Job description

Cognite in Houston, TX is seeking a Senior Data Engineer to design, build, and deploy data pipelines that collect and centralize data from diverse sources. You will partner with a multidisciplinary team to improve data reliability and enable smarter decisions across industrial data assets.

You will develop extractors with Python, Spark, and REST APIs, customize SQL and Kafka-based pipelines, and contribute to data models and dashboards in a hybrid role based in Houston.