Lead AI Enterprise Data Engineer - Ecommerce

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).

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience
- 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.


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.