Data Engineer: AI-Ready Analytics Pipelines

Flint Hills Resources

Wichita (KS)

On-site

USD 90,000 - 130,000

Full time

7 days ago
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Job summary

Koch Engineered Solutions (KES) is seeking a Data Engineer to own and deliver scalable data products supporting analytics, reporting, and AI solutions. You will partner with stakeholders and data architects to translate complex source data into production-ready pipelines and models.

Based in Wichita, KS, this role emphasizes data quality, automation, and platform reliability while supporting migration to the modern data stack and AI-enabled capabilities.

Qualifications

  • Hands-on data engineering experience delivering production data products.
  • Experience translating business processes into scalable data structures.

Responsibilities

  • Own the delivery and ongoing success of data products in production.
  • Build and maintain ELT pipelines across staging, intermediate, and mart layers.
  • Engage with stakeholders to validate business logic and data models.
  • Integrate diverse data sources including ERPs, APIs, and file feeds.
  • Ensure data quality and AI-readiness for analytics and AI solutions.
  • Apply AI-assisted engineering tools to accelerate delivery and improve quality.
  • Contribute to platform reliability with monitoring and automation.
  • Support legacy migrations to modern data stack while preserving data integrity.
  • Promote reusable engineering patterns and code reviews.

Skills

Data pipelines
Cloud data warehouses
Python
SQL
AI/ML readiness
Power BI

Tools

Snowflake
dbt
Git & CI/CD
Redshift
Databricks

Job description

Koch Engineered Solutions (KES) is seeking a Data Engineer to own and deliver scalable data products supporting analytics, reporting, and AI solutions. You will partner with stakeholders and data architects to translate complex source data into production-ready pipelines and models.

Based in Wichita, KS, this role emphasizes data quality, automation, and platform reliability while supporting migration to the modern data stack and AI-enabled capabilities.

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