DBT Data Engineer

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blue Cloud

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2015

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

Blue Cloud is an IT services and consulting company with more than 25 years of software experience. It sells, implements and operates enterprise application software in partnership with regional consulting firms, providing analytics, cloud computing, CRM, talent management, process & technology and academic management solutions. Blue Cloud focuses on rapid, simple and secure deployment and ongoing operation of business software for organizational customers.

📋 Description

• Design, develop, and maintain data pipelines and data warehouses using dbt • Work with other data engineers, analysts, and stakeholders to ensure that data is reliable, secure, and accessible • Develop and deploy dbt models to automate data transformation and quality checks • Monitor and troubleshoot data pipelines and data warehouses • Stay up-to-date on the latest dbt trends and technologies

🎯 Requirements

• Bachelor’s degree in computer science, data science, or a related field • 3+ years of experience in data engineering • 2+ years of experience with dbt • Strong understanding of data engineering principles and practices • Excellent problem-solving and analytical skills • Strong communication and teamwork skills • Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform • Experience with SQL and other data modeling languages • Experience with version control systems, such as Git • Experience with continuous integration and continuous delivery (CI/CD) pipelines • Experience with data quality assurance and testing • Strong analytical and problem-solving skills • Ability to work independently and as part of a team • Excellent communication and documentation skills.