Tableau developer

Job Requirements POSITION: Tableau Developer

 

Who We Are:

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

 

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you. 

 

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

 

What You Will Do:

• Tableau: Tableau dashboard development, including data modeling, complex calculations, performance optimization and troubleshooting.
• SQL & Data Analysis: nderstand business requirements, analyze large datasets and write complex SQL queries for data validation and reporting.
• ETL / Data Transformation: Data transformation, data preparation and ETL/ELT processes. Experience with DBT is preferred.
• Database/Data Warehousing: Relational databases, data warehousing concepts, joins, data models and working with large datasets.
• Python: Python development with Generative AI, LLM integrations and AI-driven data analytics solutions.

 

What You Will Bring:

• Tableau: Strong hands-on experience in Tableau dashboard development, including data modeling, complex calculations, performance optimization and troubleshooting.
• SQL & Data Analysis: Strong analytical skills with the ability to understand business requirements, analyze large datasets and write complex SQL queries for data validation and reporting.
• ETL / Data Transformation: Good experience with data transformation, data preparation and ETL/ELT processes. Experience with DBT is preferred.
• Database/Data Warehousing: Good understanding of relational databases, data warehousing concepts, joins, data models and working with large datasets.
• Python: Good to have Python skills with Generative AI, LLM integrations and AI-driven data analytics solutions.

 

Pay Range: $105,000 - $115,000 per year

 

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

 

Work Requirements: This role is considered an on-site position located in Sunnyvale, CA.

• You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.  
• Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs. 

 

Travel Requirements: Due to the nature of the work, no travel is required.

 

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance
• Employer paid Life Insurance, Short- & Long-Term Disability

Work Experience

• Tableau: Strong hands-on experience in Tableau dashboard development, including data modeling, complex calculations, performance optimization and troubleshooting.
• SQL & Data Analysis: Strong analytical skills with the ability to understand business requirements, analyze large datasets and write complex SQL queries for data validation and reporting.
• ETL / Data Transformation: Good experience with data transformation, data preparation and ETL/ELT processes. Experience with DBT is preferred.
• Database/Data Warehousing: Good understanding of relational databases, data warehousing concepts, joins, data models and working with large datasets.
• Python: Good to have Python skills with Generative AI, LLM integrations and AI-driven data analytics solutions.

Benefits Full time benefits for FT