Lead AI Data Engineer

Insight Global
Frisco, United States of America
25 days 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

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Computer Security
ETL
Database Queries
Distributed Systems
Hive
Python
Operational Databases
Performance Tuning
Power BI
SQL Databases
Tableau
Enterprise Software Applications
Grafana
Spark
Data Lake
PySpark
Data Analytics
Operational Systems
Data Pipelines
Databricks
Microservices

Job 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.

Requirements

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)

Benefits & conditions

(This role can pay $200,000 - 220,000 based on years of experience).

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