Data Engineer

About Us: Trilliant Food & Nutrition is a leading manufacturer of premium coffees and powdered beverages, proudly headquartered in Little Chute, Wisconsin.

With a legacy rooted in quality, innovation, and service, Trilliant delivers branded and private label solutions across retail, foodservice, and e-commerce channels.

Horseshoe Beverage Company, based in Neenah, WI, is a leading ready-to-drink beverage manufacturer dedicated to delivering an exceptional beverage experience.

By combining industry-leading talent, cutting-edge equipment, and a vertically integrated supply chain, we drive innovation and consistently deliver the highest quality products to our customers--first and fast.

Our brand portfolio includes Victor Allen's®, Dutch Bros® beverages and Nurri™, our better-for-you protein beverage line.

We are passionate about beverages - and about building a team that's just as energized.

We invite you to explore opportunities at Trilliant or Horseshoe, to see if your talents and career aspirations may fit with our openings.

Our Core Values: Position Overview: We are seeking an experienced Data Engineer to design, build, and maintain robust data pipelines and cloud-based solutions that power analytics and reporting across our manufacturing operations.

In this role you will work closely with business stakeholders, data scientists, and BI developers to turn raw data into trusted, actionable insight that drives operational excellence.

Responsibilities: · Develop & maintain data pipelines: Design, build, and optimize ETL workflows that ingest data from on-premises and cloud sources into enterprise data platforms (SQL Server & Azure).

· Model & transform data: Create well-structured, documented data models (star/snowflake schemas, data vault, etc.) to support self-service analytics and advanced use cases.

· Administer databases: Tune, secure, and monitor Microsoft SQL Server instances--including authoring complex T-SQL queries, functions, and stored procedures--to ensure high performance and data integrity.

· Leverage cloud services: Implement Azure Data Factory, Synapse Analytics, and related services for scalable data orchestration, storage, and processing.

· Integrate ERP data: Build and maintain robust integrations with Microsoft Dynamics ERP (F&O/AX) and other manufacturing systems (MES, SCADA, historians).

· Enable BI & visualization: Partner with analysts to prepare datasets for Power BI, applying visualization best practices and ensuring semantic layer consistency.

· Ensure data quality & governance: Establish validation, monitoring, and documentation standards; champion data-driven culture and adoption of best practices across teams.

· Troubleshoot & optimize: Investigate performance bottlenecks, resolve data discrepancies, and continuously improve pipelines for speed, reliability, and cost.

· Collaborate & mentor: Share expertise with peers, lead code reviews, and contribute to team standards and technical roadmaps.

Qualific...