Senior Data Engineer - Scalable Lakehouse Pipelines & AI

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 and maintain the enterprise lakehouse data platform. You will own end-to-end pipelines, transform raw source data into governed, analytics-ready assets, and mentor a lean IT team.

This hands-on role emphasizes design, production support, observability, and scalable patterns across the data stack. You will work on batch, streaming, and event-driven ingestion, ensure data quality and compliance, and optimize performance and cost while

Qualifications

• Bachelor's degree or equivalent hands-on experience in a technical field.
• 5+ years of production data engineering or related experience.
• Experience with large-scale cloud data platforms (Databricks, Snowflake, BigQuery).
• Proficient in SQL, Python, Spark and modern engineering practices.

Responsibilities

• Build and maintain batch, streaming, and event‑driven ingestion pipelines that reliably connect enterprise source systems to the lakehouse.
• Develop transformation logic and orchestrated workflows that turn raw source data into usable, governed datasets.
• Design and optimize data assets that support analytics, operational reporting, downstream applications, and AI‑ready consumption.
• Instrument pipelines and data products with validation checks, monitoring, and alerting so data and pipeline issues are detected and resolved quickly.
• Tune pipeline, storage, and compute workloads for performance, scalability, and cost efficiency.
• Establish engineering standards and reference architectures that allow a lean team to scale responsibly.
• Lead technical design reviews and mentor engineers through pairing, code review, and technical guidance.

Skills

SQL

Python

Spark

CI/CD

Data Pipelines

Education

Bachelor's degree or equivalent in a technical field

Tools

Databricks

Snowflake

Microsoft Fabric

BigQuery

Job description

Michels Corporation is seeking a Senior Data Engineer to build and maintain the enterprise lakehouse data platform. You will own end-to-end pipelines, transform raw source data into governed, analytics-ready assets, and mentor a lean IT team.

This hands-on role emphasizes design, production support, observability, and scalable patterns across the data stack. You will work on batch, streaming, and event-driven ingestion, ensure data quality and compliance, and optimize performance and cost while