Data Engineer / BI Engineer - Grafana

Cortex Consultants LLC; San Jose (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Cortex Consultants LLC in San Jose, CA is seeking a Data Engineer / BI Engineer with 3–4 years of experience and strong fundamentals in data engineering, SQL, and BI/visualization. Hands-on Grafana experience is mandatory, with optional AWS or Azure exposure.

The role emphasizes dashboard development, data modeling, and reliable data pipelines. You will write complex SQL queries, integrate data sources, and collaborate with analytics teams to deliver scalable insights.

Qualifications

• 3–4 years of data engineering/BI experience
• Strong SQL fundamentals and data warehousing knowledge
• Hands-on Grafana implementation experience required
• Experience with ETL/ELT pipelines and data integration workflows
• Familiarity with REST APIs and data formats (JSON, CSV, Parquet)

Responsibilities

• Build and maintain Grafana dashboards and data sources
• Develop and optimize SQL queries, views, and data transformations
• Create and manage ETL/ELT pipelines
• Design data models and support warehousing and analytics datasets
• Collaborate with teams and use Python for data processing and automation
• Work with relational databases (SQL Server, PostgreSQL, MySQL)

Skills

Grafana

SQL

Python

CI/CD basics

Tools

AWS

Azure

REST APIs

Job description

Position: Data Engineer / BI Engineer Grafana
Location: San Jose, CA (Onsite 5 days a week)
Experience: 3 4 years
Must-Have Skill: Hands-on Grafana experience

Job Description

We are looking for a Data Engineer / BI Engineer with 3 4 years of experience and strong fundamentals in data engineering, SQL, and BI/visualization. Hands-on Grafana experience is mandatory. The candidate can have experience with either AWS or Microsoft Azure; there is no specific cloud-stack restriction.

Key Skills & Responsibilities:

• Strong hands-on experience with Grafana, including dashboard development, data-source integration, queries, monitoring, and alerting
• Strong proficiency in SQL, including complex queries, joins, views, and data transformations
• Experience building and maintaining ETL/ELT pipelines and data integration workflows
• Good understanding of data modeling, data warehousing, and analytical/reporting datasets
• Working knowledge of Python for data processing and automation
• Experience with relational databases such as SQL Server, PostgreSQL, MySQL, or equivalent
• Experience with either AWS or Azure data services
• Familiarity with REST APIs and data formats such as JSON, CSV, and Parquet
• Understanding of Git/version control and basic CI/CD practices
• Strong analytical, debugging, and data troubleshooting skills
• Power BI, Spark/Databricks, Prometheus, Docker, or Kubernetes experience would be a plus

Please prioritize candidates with actual hands-on Grafana implementation experience, rather than candidates who have only used Grafana for viewing dashboards.