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# Lead AI Data Engineer

- **Company:** Insight Global
- **Location:** Frisco, TX, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Cyber Security, Extract Transform Load (ETL), Database Queries, Distributed Systems, Apache Hive, Python (Programming Language), Operational Databases, Performance Tuning, Power BI, SQL Databases, Tableau (Software), Enterprise Software Applications, Grafana, Apache Spark, Data Lakes, Pyspark, Data Analytics, Operational Systems, Data Pipelines, Databricks, Microservices
- **Published:** June 20, 2026
- **Apply:** https://www.juju.com/job/00000000g9nv6m

## About the Role

10+ years building and architecting large-scale applications and distributed systems.

-5+ years building production data pipelines, ETL/ELT workflows, and analytics platforms.

-Applied AI to operational intelligence (anomaly detection/alerting, forecasting, insights).

-Expert SQL (complex queries, performance tuning)

-Spark/PySpark in production (Spark SQL, optimization)

-Strong Python (testing, packaging, best practices)

-ETL/ELT pipelines (orchestration, monitoring, error handling)

-Databricks & Delta Lake (Jobs, Unity Catalog, Medallion)

-Analytics data modeling (star/snowflake schemas)

-Distributed systems (APIs, microservices, event-driven)

-Production observability & troubleshooting

-AWS (S3, Lambda, Glue, Kinesis, OpenSearch, QuickSight), BI (Power BI, Tableau, Grafana), GenAI (RAG, vector DBs, LangChain, Bedrock)

## Description

Insight Global is seeking a Lead AI Data Engineer to sit hybrid at a Cybersecurity client in Frisco, Texas. You will join their eCommerce Operational Intelligence team, building enterprise-scale data pipelines and analytics foundations (SQL, Spark/PySpark, ETL/ELT) that produce reliable operational insights and measurable business impact.

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 their eCommerce ecosystem.

Day to Day:

-Build and operate production ETL/ELT pipelines processing millions of eCommerce events daily and order trends.

-Write and tune complex SQL for operational analytics, KPIs, and reporting.

-Design analytics-ready schemas and data models for performance and scale.

-Troubleshoot pipelines, microservices, and APIs; apply observability to isolate root causes.

-Integrate data across eCommerce, MarTech, and operational systems into unified insights.


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