Lead AI Enterprise Data Engineer - Ecommerce

Insight Global
Frisco, TX, United States
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$200,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Machine Learning NoSQL Power BI Standard Sql DataOps Systems Integration Tableau (Software) Enterprise Data Management Enterprise Software Applications Grafana
+6 more
Data Lakes Pyspark Data Analytics Virtual Agents 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. eCommerce or Martech domain knowledge preferred.

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

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

10:40 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Stijn Polfliet · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:04 min

Visualizing Keycloak performance via standard Grafana troubleshooting dashboards

Alexander Schwartz Alexander Schwartz · WWC 2025

2:18 min

Introduction to data science applications in the retail sector

Julian Joseph · LIVE

Videos

See all

Related articles

See all