Data Engineer II at Cognite

Houston, Texas, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Oil & Gas, Chemicals, Pharma, Manufacturing, EnergyIndustries

Requirements

4+ years of experience in a data intense role or relevant college coursework
Experience in Oil & Gas or Manufacturing (huge plus)
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
Local to Houston, TX or willing to relocate (hybrid role)

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
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 and efficiency

Skills

Data Engineering

Software Implementation

Deployment

Digital Transformation

Industrial Data

Cognite

Industrial data management for asset-heavy industries

About Cognite

Cognite specializes in managing industrial data and facilitating digital transformation for asset-heavy industries like oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates and organizes data from various sources, making it easier for businesses to analyze and utilize this information effectively. This process, known as data contextualization, enhances the relevance of data for better decision-making. Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software, which provides a consistent revenue stream and access to ongoing updates. Additionally, Cognite offers consulting services to assist clients in optimizing their use of the software. The company's goal is to help industries improve their operations through better data management and digital solutions.

Bærum, NorwayHeadquarters

2016Year Founded

$219.2MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Industrial & Manufacturing, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Competitive Compensation + 401(k) with employer matching

Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents

Unlimited PTO + flexibility to enjoy it

Paid Parental Leave Program

Learning & Development Stipends

Global Mobility & Exchange Program

Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices

Risks

Emerging industrial AI startups pose a threat to Cognite's market share.

Geopolitical tensions could disrupt operations in key regions like the Middle East.

Reliance on cloud providers introduces risks related to data security and outages.

Differentiation

Cognite Data Fusion integrates and contextualizes data for asset-heavy industries.

Cognite offers a subscription-based SaaS model, ensuring continuous software updates.

Cognite's solutions enhance safety, sustainability, and efficiency in industrial operations.

Upsides

Cognite's partnership with Google Cloud enhances scalability and security for data management.

The launch of Cognite Embedded opens new innovation avenues for industrial software builders.

Cognite's joint venture with Saudi Aramco expands its influence in the MENA region.

Land your dream remote job 3x faster with AI

Try Jobo Free