Lead Data Engineer
LumosSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Oil & Gas, Manufacturing, Energy, Power & UtilitiesIndustries
Requirements
- Bachelor or Master degree in computer science or similar (relevant experience can compensate for formal education)
- Minimum 5 years of experience in a customer-facing Data intense role
- Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- DevOps mindset, and experience with Git, CI/CD, deployment environments
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
- Humility to ask for help and enjoy sharing knowledge with others
Responsibilities
- Lead the design and implementation of scalable and efficient data engineering solutions using Cognite Data Fusion® platform
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs
- Create custom data models for data discovery, mapping, and cleansing
- Collaborate with data scientists, project managers and solution architects on project deliveries to enable customers to achieve the full potential of the industrial dataops platform
- Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries
- Support customers and partners in conducting data engineering tasks with Cognite products
- Contribute to the development of Cognite’s official tools and SDKs
- Collaborate with Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the main responsibilities of the Senior Data Engineer role?
The role involves leading the design and implementation of scalable data engineering solutions using Cognite Data Fusion®, managing integrations, data modeling, and analysis with SQL, Python/Java, and REST APIs, creating custom data models, collaborating with teams, conducting code reviews, supporting customers, and contributing to tools and SDKs.
What technical skills are required for this position?
Key skills include experience with Cognite Data Fusion®, SQL, Python/Java, REST APIs, data modeling, integrations, extractions, and analysis, as well as code reviews and best practices.
What is the company culture like at Cognite?
Cognite's culture is defined by values of Impact (result-oriented), Ownership (embracing inclusivity and shared responsibilities), and Relentless (pursuit of innovation, facing challenges head-on). Employees join dynamic teams collaborating with industry leaders, data scientists, and architects to deliver cutting-edge solutions.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
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.
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