Apply on Employer Site

Milwaukee Tool · 1 day ago

Staff Data Engineer-Promo Analytics

Menomonee Falls, WI

Full-time

Onsite

Lead/Staff

8+ years exp

Milwaukee Tool is a leading brand in the construction industry, seeking a Staff Data Engineer to drive and deliver innovative data products. In this role, you will design and develop data processing pipelines and support the enterprise data platform, focusing on retail promotions while mentoring other engineers and shaping long-term data strategy.

Consumer GoodsElectronicsIndustrialManufacturingSoftware

Growth Opportunities

No H1B

Responsibilities

Partner with business stakeholders and engineering leadership to understand cross‑domain analytical needs and translate them into scalable architectural designs

Lead and architect large‑scale data pipelines and transformation frameworks that support enterprise‑wide analytics and advanced data products

Define, champion, and implement data engineering standards, best practices, and patterns across the Data Platform organization

Design and optimize complex distributed data processing systems using technologies such as Spark, Databricks, and cloud‑native data services

Develop canonical data models, semantic structures, and reusable datasets that support enterprise reporting and machine learning initiatives

Drive platform modernization initiatives (e.g., Delta Lake, streaming architectures, metadata‑driven design)

Provide technical leadership, guidance, and mentorship to other data engineers, enabling rapid, high‑quality delivery

Lead root‑cause analysis for major data issues and drive long‑term, systematic improvements in data quality, lineage, and observability

Influence engineering roadmaps, architectural decisions, and platform strategy across multiple teams and business units

Other duties and responsibilities as assigned

Qualification

SQLPythonSparkData EngineeringDataOpsAgileData ModelingLeadershipProblem SolvingCommunication

Required

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position now or in the future

Bachelor's degree in Computer Science, Information Systems or equivalent experience

8 or more years of experience in data engineering or a related technical field

Expert‑level proficiency in SQL, Python, Spark, and large‑scale data processing

Extensive experience designing and building complex data pipelines, data models, and distributed data systems (Delta Lake, Spark, Unity Catalog, Jobs, Workflows)

Strong experience designing and tuning distributed data processing systems at scale

Proven experience designing and implementing complex data models across multiple business domains

Demonstrated mastery of data engineering best practices including version control, CI/CD, automated testing, DevOps/DataOps, and observability

Proven ability to lead cross‑functional technical initiatives and influence architectural direction

Strong problem‑solving, debugging, and analytical skills, especially in complex, multi‑system environments

Ability to thrive in agile, dynamic, and collaborative engineering teams