Data Engineer II

Greenhouse Software, Inc.; Georgia; Hybrid; USD 120,000 - 160,000; 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, develop and implement data infrastructure and pipelines that connect data from multiple sources, supporting reliable analytics and data-driven decisions.

This hybrid role requires 7+ years in data-intensive environments, experience in in Oil & Gas or Manufacturing, and travel to client sites. You will work with Python, Spark, SQL, Kafka, and Docker to deliver scalable solutions.

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
• 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 travel onsite to meet with and engage with clients -- we don’t build solutions in isolation.

Responsibilities

• 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

Skills

Python

Spark

SQL

ETL

Data analysis

Data science

Rest APIs

Kafka

Docker

Education

BS in Computer Science

MS in Computer Science

Tools

Docker

Kafka

Job description

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.

How you’ll demonstrate Ownership

At Cognite, 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. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.

Do you see how data can be used, modeled and visualized in new ways to improve decisions in industrial engineering, but you experience that the tools and data availability is insufficient to create impact? If you want to change that, and take part in forming what the future of the industry will look like you should join our Cognite and become a 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.

This is a hybrid role working out of our Houston office so candidates must be local to Houston.

What You’ll Do

• 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

The Impact you bring to Cognite

• 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 -- we don’t build solutions in isolation.
• Role hybrid based in Houston, TX

A snapshot of our many perks and benefits as a Cogniter

• Competitive compensation
• 401(k) with employer matching
• Competitive health, dental, vision & disability coverages for employees and all dependents
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.