Senior Data Engineer: Build Data Lakehouse & AI Assets

Michels Corporation; Green Bay (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

Michels Corporation is seeking a Senior Data Engineer to build a trusted data foundation powering analytics, reporting, and AI across the Michels Family of Companies. You will own complex data pipelines end-to-end, partnering with a lean IT team to scale through automation and observability.

As a senior individual contributor reporting to IT, you will mentor engineers, establish standards, and help design scalable lakehouse architectures from source data through durable enterprise assets.

Qualifications

• Bachelor’s degree or equivalent hands‑on experience in a technical field.
• 5+ years in production data engineering, analytics, or related roles.
• Experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery.
• Proficiency with SQL, Python, Spark and modern practices including version control, automated testing, CI/CD, and streaming ingestion.
• Experience creating observable pipelines with monitoring, lineage, and data quality controls.

Responsibilities

• Build and maintain batch, streaming, and event-driven ingestion pipelines connecting source systems to the lakehouse.
• Develop transformation logic and orchestrated workflows for usable, governed datasets.
• Design and optimize data assets supporting analytics, reporting, and AI‑ready consumption.
• Instrument pipelines with validation, monitoring, and alerting to detect and resolve issues quickly.
• Tune workloads for performance, scalability, and cost efficiency; mentor engineers and lead design reviews.

Skills

SQL

Python

Spark

CI/CD

Streaming ingestion

Data pipelines

Cloud platforms

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks

Snowflake

Microsoft Fabric

BigQuery

Job description

Michels Corporation is seeking a Senior Data Engineer to build a trusted data foundation powering analytics, reporting, and AI across the Michels Family of Companies. You will own complex data pipelines end-to-end, partnering with a lean IT team to scale through automation and observability.

As a senior individual contributor reporting to IT, you will mentor engineers, establish standards, and help design scalable lakehouse architectures from source data through durable enterprise assets.