Autonomous AI Data Analytics Engineer – Onsite Lisle

Molex; Lisle (IL); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement plan

Job summary

Molex, part of the Koch family, seeks an experienced AI Data Analytics Engineer for its Optical Connectivity group in Lisle, IL. The role blends agentic AI workflow development, data analytics, database engineering, and full-stack app development to deliver robust data systems and insights.

You will build ETL pipelines, APIs, dashboards and AI-powered services that convert test and operational data into actionable insights, with emphasis on scalable architectures and security.

Qualifications

• BS or MS in Computer Science, Data Science, Software Engineering, Applied Math, or equivalent experience.
• 2+ years of experience building production software, data systems, or analytics platforms (backend, DB, or data engineering).
• Strong Python skills; experience with APIs (FastAPI, Flask) and web services.
• Advanced SQL expertise and relational database design experience (PostgreSQL, MySQL, SQL Server).
• Experience with data warehousing / columnar stores (BigQuery, Redshift, Snowflake) or time-series DBs (TimescaleDB, InfluxDB).
• Experience with ETL/ELT orchestration (Airflow, dbt, Spark) and incremental load strategies.
• Hands-on experience with AI coding agents and agentic development tools (e.g., OpenAI Codex, Claude Code, GitHub Copilot) for automated code generation, refactoring, and testing.

Responsibilities

• Translate engineering problems into data-driven applications and services that scale and integrate with internal systems.
• Design, implement, and maintain relational and analytical databases (schema design, indexing, backups, migrations).
• Build reliable ETL/ELT pipelines and data ingestion systems for MES, ERP/SAP, CRM, warranty/field records.
• Develop backend services and APIs (REST/gRPC) to serve analytics, AI outputs, and application data.
• Implement frontend dashboards and interactive UIs (Power BI/Tableau, Dash/React) to present insights.
• Design, build, and orchestrate agentic AI workflows - multi-step, tool-using agents; leverage Codex/Claude to accelerate development.
• Ensure reliability, observability, security (RBAC, encryption) and data governance.
• Implement CI/CD for code, DB migrations, and agent deployment; enforce tests and rollback strategies.
• Optimize query performance and analytics-focused schema; produce architecture docs and runbooks.

Skills

Python

SQL

REST APIs

Data modelling

ETL pipelines

Airflow

dbt

GitHub Actions

Power BI

Tableau

Education

BS/MS in Computer Science/Data Science/Software Engineering/Applied Math or equivalent

Tools

PostgreSQL

MySQL

SQL Server

BigQuery

Redshift

Snowflake

Docker

Kubernetes

FastAPI

Flask

Job description

Molex, part of the Koch family, seeks an experienced AI Data Analytics Engineer for its Optical Connectivity group in Lisle, IL. The role blends agentic AI workflow development, data analytics, database engineering, and full-stack app development to deliver robust data systems and insights.

You will build ETL pipelines, APIs, dashboards and AI-powered services that convert test and operational data into actionable insights, with emphasis on scalable architectures and security.