Lead AI Enterprise Data Engineer - Ecommerce

Insight Global
Frisco, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 220K

Job location

Frisco, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
NoSQL
Power BI
DataOps
SQL Databases
Systems Integration
Tableau
Enterprise Software Applications
Grafana
Data Lake
PySpark
Looker Analytics
Databricks

Requirements

10+ years enterprise application development experience. -3+ years hands-on AI/ML experience. -Expert-level Databricks experience (PySpark, Delta Lake, Workflows). -Experience with AWS for AI agent building and GenAI integrations. -Strong SQL/NoSQL experience. -Experience with BI tools (Power BI, Tableau, Looker, Grafana). -Reliable real-time and historical eCommerce monitoring. -Improved funnel conversion via predictive analytics. -Faster incident triage via AI-driven insights. -Higher engineering productivity via AI copilots. -Cost-efficient AI and data operations across AWS + Databricks.

Nice to Have Skills & Experience

eCommerce or Martech domain knowledge preferred.

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

About the company

Insight Global is seeking a Lead AI Enterprise Data Engineer - Ecommerce that will sit hybrid at a Cybersecurity client in Frisco, Texas. You will drive the transformation of eCommerce operational analytics and real-time monitoring by building scalable data pipelines, AI-powered insights, and intelligent dashboards. This role leads AI proof-of-concepts and contributes to production-grade solutions that improve platform reliability, accelerate root-cause identification, enhance engineering productivity, and strengthen operational intelligence across the clients eCommerce ecosystem. (This role can pay $200,000-220,000 based on years of experience).

Apply for this position