AI Data Analytics Engineer

Molex, a Koch company delivering optical connectivity solutions for data centers, telecommunications, and next-generation computing, is seeking an experienced AI Data Analytics Engineer. The role develops databases, ETL pipelines, APIs, dashboards, and agentic AI services that transform engineering, test, and operational data into actionable insights. The engineer will also design AI workflows, ensure application reliability and security, implement CI/CD, and support stakeholder knowledge transfer.

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

• Eligible for variable pay, issued as a monetary bonus or in another form.
• Medical coverage
• Dental coverage
• Vision coverage
• Flexible spending accounts
• Health savings accounts
• Life insurance
• ADD coverage
• Disability coverage
• Retirement benefits
• Paid vacation/time off
• Educational assistance
• Infertility assistance may be included
• Paid parental leave may be included
• Adoption assistance may be included
• An environment that supports individual work and personal needs

Company

• Engineered solutions for industrial construction and process industries
• Wichita, Kansas, USA
• http://www.kochengineeredsolutions.com/
• Founded in 1945
• 1001-5000 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, FastAPI, Flask, SQL, Relational Database Design, Data Warehousing, ETL/ELT Orchestration Airflow, ETL/ELT Orchestration dbt, ETL/ELT Orchestration Spark, AI Coding Agents OpenAI Codex, AI Coding Agents Claude Code, AI Coding Agents GitHub Copilot, Agentic AI Workflows LangChain, Agentic AI Workflows LangGraph, Agentic AI Workflows AutoGen, Agentic AI Workflows CrewAI, Docker, Kubernetes, CI/CD GitHub Actions, CI/CD Jenkins

Experience

• 2+ years