> Markdown version of [/jobs/ext/2116703-data-engineer](https://www.wearedevelopers.com/jobs/ext/2116703-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Milwaukee Tool - **Location:** Menominee, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Unity 3d, Application Programming Interfaces (APIs), Agile Methodology, Data Analysis, Automation of Tests, Configuration Management, Code Review, Information Systems, Databases, Continuous Delivery, Continuous Integration, Information Engineering, Data Files, Data Infrastructure, Data Systems, Data Vault Modeling, Software Debugging, Software Design Patterns, DevOps, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Metadata, Meta-Data Management, Microsoft Software, Modular Design, Performance Tuning, Systems Development Life Cycle, Reliability Engineering, DataOps, Software Engineering, SQL Databases, Data Streaming, Azure Service Bus, Data Processing, Scripting, Apache Spark, Data Strategy, Build Management, Data Lakes, Information Technology, Collibra, Data Analytics, Integration Frameworks, Apache Kafka, Spark Streaming, Data Management, Domain Driven Design, Software Version Control, Data Pipelines, Cisco, Databricks, Programming Languages - **Published:** August 19, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-data-engineer-menomonee-falls-wi--57f85ef5-793c-4cf6-bfdf-92916c4d0784 ## About the Role * 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. * Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. * Ability to thrive in agile, dynamic, and collaborative engineering teams. Other TOOLS we prefer you to have: * Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows. * DataOps experience (pipeline observability, monitoring, automated quality). * Knowledge of metadata management or cataloging platforms (Purview, Collibra, Alation). * Experience with streaming frameworks (Kafka, Event Hubs, Kinesis) used with Spark Structured Streaming. * Knowledge and experience working in an Agile environment. * Experience working with retail product promotion data., Agile Programming Methodologies, Analysis Skills, Apache Spark, Application Programming Interface (API), Automation, Best Practices, Business Intelligence, Business Model, Cataloguing, Cisco Unity, Code Reviews, Communication Skills, Computer Science, Construction, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Modeling, Data Processing, Data Sets, Debugging Skills, Dental Insurance, Depth Perception, Design Patterns Programming Methodologies, DevOps, Distributed Computing, Fitness, Food Services, Hand Tools, Hubs, Information Technology & Information Systems, Laboratory, Leadership, Lift/Move 50 Pounds, Machine Learning, Machine Tool, Mentoring, Metadata, Microsoft FAST, Office Equipment, Operational Improvement, Physical Demands, Problem Solving Skills, Programming Languages, Promotional Programs, Python Programming/Scripting Language, Quality Monitoring, Reliability Engineering, Retail, Root Cause Analysis, SQL (Structured Query Language), Scalable System Development, Software Development Lifecycle (SDLC), Source Code/Configuration Management (SCM), Team Player, Technical Leadership, Technical/Engineering Design, Test Automation, Travel Industry, Vision Plan, Willing to Travel ## Description At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Senior Data Engineer, you will deliver innovative data products that enable Milwaukee Tool to make fast, data-driven decisions. Working closely with business partners and the Data Platform team, you will design, build, and support the core systems that power our data platform. You will create scalable data pipelines, self-service tools, and governance solutions that ensure trusted, accessible data across the organization. You'll develop deep knowledge of our data and support advanced analytics, including machine learning. Success in this role requires curiosity, a passion for experimentation, and a drive to share knowledge to elevate the team and benefit our customers. You'll be DISRUPTIVE through these duties and responsibilities: * Design and build scalable data pipelines to ingest, transform, and curate data from a variety of systems including APIs, databases, files, and event streams. * Lead technical design reviews, translate complex business needs into enterprise-grade data solutions, and influence data engineering best practices across teams. * Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical models) to support analytics, BI, and productized datasets. * Champion engineering excellence through SDLC best practices, continuous delivery, and data infrastructure automation using CI/CD and Infrastructure-as-Code. * Optimize complex distributed workloads including SQL, Python, and Spark; mentor others on advanced tuning techniques and scalable design patterns. * Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption. * Perform root-cause analysis for major data incidents, lead long-term remediation, and influence operational reliability improvements. * Provide technical mentorship to Data Engineers, guide code reviews, and help shape engineering capability maturity. * Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies. * Performs other duties as assigned. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)