Senior Data Engineer - Build Scalable, Trusted Data Pipelines

Milwaukee Tool; Menomonee Falls (WI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, dental and vision insurance

Generous 401(k) savings plan

Education assistance

On-site wellness and coffee service

Job summary

Milwaukee Tool is seeking a Senior Data Engineer to design, build, and support scalable data pipelines and data models that enable fast, data-driven decisions across the organization.

You will collaborate with business partners and the Data Platform team to deliver enterprise-grade data solutions, governance, and self-service tooling while mentoring others and advancing engineering practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems or equivalent experience.
• 5 to 8+ years of experience in data engineering or a related technical field.
• Expertise in SQL and advanced proficiency in at least one programming language (Python preferred).
• Extensive hands-on experience building scalable pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).
• Strong experience designing and tuning distributed data processing systems at scale.

Responsibilities

• Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams.
• Lead technical design reviews and translate complex business needs into enterprise-grade data solutions.
• Develop and optimize advanced data models to support analytics, BI, and productized datasets.
• Champion SDLC best practices, CI/CD, and Infrastructure-as-Code for data infrastructure.
• Optimize distributed workloads (SQL, Python, Spark) and mentor others on design patterns.
• Build reusable data frameworks and reference architectures to accelerate platform adoption.
• Perform root-cause analysis for major data incidents and drive remediation.
• Provide technical mentorship and guide code reviews for Data Engineers.
• Collaborate with Architects and Product Owners to define long-term data strategies.

Skills

SQL

Python

Databricks

Spark

CI/CD

Data modeling

Distributed systems

Mentorship

Agile

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Databricks Unity Catalog

Delta Live Tables

Databricks Workflows

Purview/Collibra/Alation

Job description

Milwaukee Tool is seeking a Senior Data Engineer to design, build, and support scalable data pipelines and data models that enable fast, data-driven decisions across the organization.

You will collaborate with business partners and the Data Platform team to deliver enterprise-grade data solutions, governance, and self-service tooling while mentoring others and advancing engineering practices.