Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Oil & Gas, Chemicals, Pharma, Manufacturing, EnergyIndustries
Requirements
- Strong blend of data and software engineering skills
- Deep technical capabilities in data pipelines, integrations, data models, and Cognite Data Fusion functionality
- Experience investigating and debugging complex customer-reported issues related to data pipelines, integrations, data models, API integrations, custom code, and third-party data sources
- Ability to analyze data failures, system errors, and unexpected behaviors
- Skills in troubleshooting production incidents, reproducing issues, and implementing reliable fixes or workarounds
- Capability to perform in-depth troubleshooting and diagnostics, including custom code reviews and third-party data source integrations
- Experience with root cause analyses and progress updates aligned with customer SLAs
- Ability to collaborate with customer teams, engineering, and product teams
- Customer-first mindset focused on resolving issues efficiently and maintaining system stability
- Availability for on-call rotations to ensure 24/7 coverage and rapid response to critical issues
Responsibilities
- Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality
- Work closely with customer teams to understand production incidents, reproduce issues, and implement reliable fixes or workarounds
- Analyze data failures, system errors, and unexpected behaviors across API integrations, custom code, and third-party data sources
- Maintain and improve the reliability and performance of existing data pipelines by proactively identifying bottlenecks, configuration mismatches, or usage anomalies
- Collaborate with engineering and product teams to escalate platform issues, suggest improvements, and contribute to long-term resolutions
- Serve as the technical point of contact for customer support cases, particularly complex and high-priority issues
- Perform in-depth troubleshooting and diagnostics, including custom code reviews and third-party data source integrations
- Engage in regular case reviews, root cause analyses, and progress updates aligned with customer SLAs
- Participate in on-call rotations to ensure 24/7 coverage and rapid response to critical issues
- Implement and manage proactive monitoring and alerting systems to detect and address issues before they escalate
- Support production environments, troubleshoot customer deployments, and implement operational improvements
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key responsibilities of the Support Data Engineer role?
The role involves investigating and debugging complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality, working closely with customer teams to reproduce issues and implement fixes, and analyzing data failures and system errors.
What is the company culture like at Cognite?
Cognite's values are Impact, Ownership, and Relentless: striving to make an impact by being result-oriented, embracing ownership by going beyond comfort zones and fostering inclusivity, and being relentless in pursuing innovation by facing challenges head-on and viewing setbacks as growth opportunities.
What is the team structure for this position?
The One Cognite Customer Support team is a globally distributed group of technical experts including Support Data Engineers, Support Solution Architects, and Support Specialists focused on ensuring customer support and success across four tiers of enterprise-grade service.
Is this role remote or does it require office presence?
This information is not specified in the job description.
What salary or compensation does this position offer?
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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