Koch Industries

AI Data Analytics Engineer

Koch Industries$90K — $110K *
Lisle, IL 60532In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Data Science, Software Engineering, Applied Math, or equivalent experience.
  • 2+ years of experience in production software, data systems, or analytics platforms.
  • Strong Python programming skills; experience with APIs and web services.
  • Advanced SQL expertise with relational database design knowledge.
  • Hands-on experience with AI coding agents and agentic development tools.
  • Experience designing and orchestrating AI workflows using frameworks like LangChain or LangGraph.
  • Familiarity with containerization tools (Docker, Kubernetes) and CI/CD processes.

Responsibilities

  • Translate engineering challenges into scalable data-driven applications and services.
  • Design and maintain relational and analytical databases with best practices.
  • Build reliable ETL/ELT pipelines for diverse enterprise data sources.
  • Develop backend services and APIs to provide analytics and application data.
  • Implement frontend dashboards and interactive user interfaces for insights presentation.
  • Create agentic AI workflows that automate engineering tasks using AI coding agents.
  • Ensure application reliability, security, and compliance throughout the software lifecycle.

Benefits

  • Medical, dental, and vision coverage.
  • Flexible spending and health savings accounts.
  • Life insurance and disability coverage.
  • Retirement plans with company contributions.
  • Paid vacation and time off, including parental leave.
  • Educational assistance programs and adoption support.
Full Job Description
Your Job

We are seeking an experienced AI Data Analytics Engineer to accelerate data-driven engineering across Molex's Optical Connectivity product portfolio. This hands-on role blends agentic AI workflow development, data analytics, database engineering, and full-stack application development to deliver robust databases, ETL pipelines, APIs, dashboards, and AI-agent-powered services that convert test and operational data into actionable insights. The ideal candidate is fluent in modern AI coding agents (e.g., OpenAI Codex, Claude Code, GitHub Copilot) and skilled at designing autonomous and semi-autonomous agentic workflows that accelerate software delivery, testing, and engineering decision-making.

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

What You Will Do
  • 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.


Who You Are (Basic 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.


What Will Put You Ahead
  • 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).


For this role, we anticipate paying $90,000 - $110,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .

Our Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and 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. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

#LI-JM3

About Koch Industries

Koch Industries, Inc. is an American privately-held multinational conglomerate corporation based in Wichita, Kansas. Its subsidiaries are involved in the manufacturing, refining, and distribution of petroleum, chemicals, energy, fiber, intermediates and polymers, minerals, fertilizers, pulp and paper, chemical technology equipment, ranching, finance, commodities trading, and investing. Koch owns Infor, Invista, Georgia-Pacific, Molex, Flint Hills Resources, Koch Pipeline, Koch Fertilizer, Koch Minerals, Matador Cattle Company, i360, and Guardian Industries. The firm employs 120,000 people in 60 countries, with about half of its business in the United States. The company is the largest non-Canadian landowner in the Athabasca oil sands. With annual revenues of $110 billion by 2014, the company is the largest privately held company in the United States. In 2007, it was ranked as the largest privately held company. If Koch Industries had been a public company in 2013, it would have ranked 17th in the Fortune 500. The company was founded by its namesake, Fred C. Koch, in 1940 after he developed an innovative crude oil refining process. Fred C. Koch died in 1967 and his majority interest in the company was split amongst his four sons. In June 1983, after a bitter legal and boardroom battle, the stakes of Frederick R. Koch and William "Bill" Koch were bought out for $1.1 billion and Charles Koch and David Koch became majority owners in the company. Charles owns 42% of the company; trusts for the benefit of Elaine Tettemer Marshall and Elaine's children, Preston Marshall and E. Pierce Marshall Jr., own 16% of the company. The heirs of David Koch, who died on August 23, 2019, own the balance, 42%, of the corporation.
Learn more about Koch Industries
Industry
Founded
1940

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