Data Engineer
Company: Dow
Location: Location not specified (Remote)
Type: Contract
Remote: Yes
Posted: 2026-06-03
About this role
At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.
Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place.
About This Role
Dow
has an exciting opportunity for a
Data Engineer
located in
Midland, MI or Houston, TX or Champaign, IL (Dow Delivery Center at UIUC)
. This position may also support
Virtual Office
. This role will make significant technical contributions to critical data initiatives within our team at Dow. You will be responsible for driving the technical implementation and contributing to the design of scalable, Gold-layer data products on the Azure Databricks Lakehouse Platform.
This role focuses on solving complex technical challenges, optimization, architecture contribution, and reliability, ensuring our datasets are performant and ready to power advanced use cases, including:
- Machine Learning (ML) Pipelines
- Real-Time Data Consumption
- Generative and Agentic AI Systems
- Core Enterprise Reporting and BI
- Data-driven Applications
Responsibilities
- Technical Design Contribution: Collaborate with senior data engineers to translate complex business requirements and ambiguous problem statements into clear, robust, and scalable technical designs and data models (e.g., dimensional modeling, star schemas), and independently drive the implementation of these designs.
- Performance Optimization: Design, build, and deploy high-volume data transformation logic us...