Data Engineer AI

Quest Global; Sunnyvale (CA); On-site; USD 105,000 - 110,000; Full time

Benefits offered by this job

401(k) matching

Dental insurance

Health insurance

Paid time off

Vision insurance

Employer paid Life Insurance, Short- &

Long-Term Disability

Job summary

Quest Global is hiring onsite in Sunnyvale, CA for a Data Engineer AI role. The position focuses on building robust data pipelines, validating data quality, and exploring datasets for trends to enable AI-enabled solutions for business decisions.

The role offers a robust benefits package starting day one and opportunities to contribute to data-driven initiatives and AI-enabled solutions.

Qualifications

• Snowflake proficiency required.
• SQL proficiency required.
• Experience with AI integration and agentic AI.
• Tableau experience required.

Responsibilities

• Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions.
• Build data transformations, workloads, data structures, dependencies and metadata.
• Perform data validation checks, identify and rectify errors, maintain data quality throughout the lifecycle.
• Explore datasets to identify trends, patterns, and insights.
• Conduct analyses for stakeholders and other non-technical professionals; build models to generate actionable insights for making efficient business decisions.
• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes.
• Streamline data science workflows, adding value to product offerings and building out customer lifecycle and retention models.

Skills

SQL

AI integration

Agentic AI

Tools

Snowflake

Tableau

ThoughtSpot

Python

Excel

Numbers

Quip

Keynote

Miro

Slack

datarobot

Job description

Quest Global is hiring onsite in Sunnyvale, CA for a Data Engineer AI role, offering a salary of USD 105,000 - 110,000 per year. This position centers on building robust data pipelines, validating data quality, exploring datasets for trends and insights, and enabling AI integration to support business decisions. The role provides a robust benefits package that starts on day one, along with opportunities to contribute to data driven initiatives and AI enabled solutions.

Responsibilities

• Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
• Build processes that support data transformation, workload management, data structures, dependency and metadata
• Perform data validation checks, identify and rectify errors, and maintain a quality standard throughout the data lifecycle
• Explore datasets to identify trends, patterns, and insights
• Conduct analyses for stakeholders and other non technical professionals; build models to generate actionable insights for making efficient business decisions
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
• Streamline data science workflows, adding value to product offerings and building out the customer lifecycle and retention models

Requirements

• Snowflake
• SQL
• AI integration
• Agentic AI
• Tableau

Technologies

• Snowflake
• SQL
• Tableau
• ThoughtSpot
• Python
• Excel
• Numbers
• Quip
• Keynote
• Miro
• Slack
• datarobot

Benefits

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

Work requirements

• 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 extensive walking, and the ability to lift up to 40 lbs