Senior Data Engineer

Michels; Milwaukee (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

The Senior Data Engineer at Michels builds lakehouse pipelines and reusable data products to power analytics, reporting, and AI across the Michels Family of Companies.

This hands-on role owns design through production, implements data governance, validation checks, and scalable patterns, and mentors engineers while helping the team scale with automation and observability.

Qualifications

• Bachelor's degree or equivalent hands-on experience in a technical field.
• 5+ years of production experience in data engineering or related discipline.
• Experience with enterprise cloud data platforms (Databricks, Snowflake, Fabric, BigQuery).
• Proficiency with SQL, Python, Spark or similar, and CI/CD practices.

Responsibilities

• Build and maintain batch, streaming, and event-driven ingestion pipelines connecting enterprise sources to the lakehouse.
• Develop transformation logic and orchestrated workflows to create usable, governed datasets.
• Design and optimize data assets supporting analytics, reporting, and AI-ready consumption.
• Instrument pipelines with validation checks, monitoring, and alerting for quick issue resolution.
• Tune pipelines, storage, and compute for performance, scalability, and cost efficiency.
• Establish engineering standards and reference architectures to scale the team responsibly.
• Lead technical design reviews and mentor engineers through pairing and code reviews.

Skills

SQL

Python

Spark

Data pipelines

CI/CD

Monitoring

Education

Bachelor's degree or equivalent

Tools

Databricks

Snowflake

Microsoft Fabric

BigQuery

Job description

Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Senior Data Engineer can change yours.

The Senior Data Engineer builds the trusted data foundation that powers analytics, reporting, operational insight, and AI across the Michels Family of Companies. As a senior individual contributor on the Enterprise Intelligence team, this person builds and operates lakehouse pipelines and reusable data products and helps shape the engineering standards that turn raw source data into valuable, durable enterprise assets. This is a hands‑on role that owns complex work from design through production support and helps a lean team scale through patterns, automation, and observability. This role mentors engineers and provides technical leadership within delivery work. This role reports to the IT Manager, Data Platform & Engineering and is a member of the Information Technology organization.

Key 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.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands‑on experience.
• 5+ years of production experience in data engineering, data platform engineering, analytics engineering, software engineering, or a related discipline.
• Proven experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery.
• Proficiency with SQL, Python, Spark or similar distributed processing frameworks, and modern engineering practices including version control, automated testing, CI/CD, and streaming ingestion.
• Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Michels Corporation’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

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A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.