Senior Data Platform Engineer – Data Pipelines & ML

tti; Menomonee Falls (WI); On-site; USD 120,000 - 160,000; Full time

Job summary

Milwaukee Tool is seeking a Senior Data Engineer to deliver scalable data products that empower fast, data‑driven decisions. You will design, build, and support core systems powering our data platform, creating scalable pipelines and governance solutions for trusted data across the organization.

You will collaborate with business partners and the Data Platform team to enable advanced analytics and ML, mentor teammates, and drive best practices across engineering teams, while supporting our

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).
• Hands‑on experience with distributed data processing technologies such as Apache Spark.
• Strong experience designing and tuning distributed data processing systems at scale.
• Proven experience designing and implementing complex data models across multiple business domains.
• Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices.
• Ability to lead cross‑functional engineering initiatives and influence technical roadmaps.

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 business needs into enterprise‑grade data solutions.
• Develop and optimize data models to support analytics, BI, and productized datasets.
• Champion SDLC best practices, continuous delivery, and infrastructure automation.
• Optimize distributed workloads using SQL, Python, and Spark; mentor others on tuning techniques.
• Build reusable data frameworks and reference architectures to speed platform adoption.
• Perform root‑cause analysis for major data incidents and drive remediation.
• Provide technical mentorship to Data Engineers and shape engineering capabilities.
• Collaborate with Architects and cross‑functional teams to define long‑term data strategies.
• Perform other duties as assigned.

Skills

Analytical thinking

Problem solving

Collaboration

Education

Bachelor's degree in Computer Science or equivalent

Tools

Databricks (Delta Lake, Unity Catalog, Jobs, Workflows)

Apache Spark

Kafka / Event Hubs / Kinesis

Purview / Collibra / Alation

Git / CI/CD / DevOps

Job description

Milwaukee Tool is seeking a Senior Data Engineer to deliver scalable data products that empower fast, data‑driven decisions. You will design, build, and support core systems powering our data platform, creating scalable pipelines and governance solutions for trusted data across the organization.

You will collaborate with business partners and the Data Platform team to enable advanced analytics and ML, mentor teammates, and drive best practices across engineering teams, while supporting our