AI Data Analytics Engineer

Molex is seeking an experienced AI Data Analytics Engineer to support data-driven engineering across its Optical Connectivity product portfolio. The role develops databases, ETL pipelines, APIs, dashboards, and agentic AI services that transform test and operational data into actionable insights, while also supporting software delivery, testing, and engineering decision-making.

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 (logical/physical schema design, indexing, partitioning, backups, migrations)

Build reliable ETL/ELT pipelines and data ingestion systems for heterogeneous enterprise sources (MES, ERP/SAP, CRM, warranty/field records)

Develop backend services and APIs (REST/gRPC) to serve analytics, AI agent outputs, and application data to dashboards, lab tools, and internal apps

Implement frontend dashboards and interactive UIs (Power BI/Tableau, Dash/React) to present insights and enable engineer workflows

Design, build, and orchestrate agentic AI workflows — multi-step, tool-using AI agents that automate engineering tasks such as code generation, code review, data analysis, testing, and reporting; leverage AI coding agents (OpenAI Codex, Claude Code) to accelerate development velocity

Ensure application reliability, observability, security (logging, metrics, RBAC, encryption at rest/in-flight) and data governance

Implement CI/CD for code, database schema migrations, and agentic workflow deployment; enforce automated testing and rollback strategies

Optimize query performance and schema for analytics workloads and high-ingest scenarios

Produce architecture docs, data contracts, and operational runbooks; enable knowledge transfer and training for stakeholders

Preferred

Experience with message brokers/streaming (Kafka, RabbitMQ) for event-driven agentic pipelines

Experience with prompt engineering, agent evaluation/observability tooling (e.g., LangSmith, Helicone), and guardrails for safe, reliable autonomous agent behavior

Contributions to open-source agentic frameworks or personal/professional projects showcasing autonomous coding agents, agent-to-agent orchestration, or AI-driven developer tooling

Experience with database migration tooling and schema versioning (Flyway, Alembic)

Familiarity with cloud-native data architectures (AWS/GCP/Azure) and security/compliance practices for proprietary data

Experience building custom AI agent tools and integrations (e.g., MCP servers, plugin/extension architectures) to connect agentic workflows with enterprise systems (SAP/xRPM, Power Automate, Salesforce)

Message brokers

Kafka

RabbitMQ

Prompt engineering

Agent evaluation tooling

LangSmith

Helicone

Guardrails for agents

Open-source frameworks

Autonomous coding agents

Agent orchestration

AI developer tooling

Database migration tooling

Schema versioning

Flyway

Alembic

Cloud-native architectures

AWS

GCP

Azure

Security practices

Compliance practices

Custom AI agent tools

MCP servers

Plugin architectures

Extension architectures

Enterprise systems integration

SAP

xRPM

Power Automate

Salesforce

Benefits

This role is eligible for variable pay, issued as a monetary bonus or in another form.

Medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, and educational assistance.

May also include infertility assistance, paid parental leave and adoption assistance.

Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.

Company

Electronic interconnect and connectivity products for multiple industries

Lisle, Illinois, USA

http://www.molex.com/

Founded in 1938

5001-10000 employees

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

Experience designing and orchestrating agentic AI workflows (multi-step reasoning, tool/function calling, retrieval-augmented generation) using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI

Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD tools (GitHub Actions, Jenkins)

Experience building dashboards and visualizations (Power BI, Tableau, Dash, React)

Strong software engineering practices: unit/integration testing, code reviews, CI, and documentation

Excellent communication and cross-functional collaboration skills

This position will work onsite 5 days a week in Lisle, IL

Experience with message brokers/streaming (Kafka, RabbitMQ) for event-driven agentic pipelines

Experience with prompt engineering, agent evaluation/observability tooling (e.g., LangSmith, Helicone), and guardrails for safe, reliable autonomous agent behavior

Contributions to open-source agentic frameworks or personal/professional projects showcasing autonomous coding agents, agent-to-agent orchestration, or AI-driven developer tooling

Experience with database migration tooling and schema versioning (Flyway, Alembic)

Familiarity with cloud-native data architectures (AWS/GCP/Azure) and security/compliance practices for proprietary data

Experience building custom AI agent tools and integrations (e.g., MCP servers, plugin/extension architectures) to connect agentic workflows with enterprise systems (SAP/xRPM, Power Automate, Salesforce)

2+ years of experience building production software, data systems, or analytics platforms (backend, DB, or data engineering).

Required skills

Python, SQL, Relational Database Design, ETL/ELT Orchestration, FastAPI, AI Coding Agents, Agentic AI Workflow Orchestration, LangChain, Docker, Kubernetes, CI/CD, Power BI

Experience

2+ years