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# Sr Data Engineer

- **Company:** Milwaukee Electric Tool
- **Location:** Menomonee Falls, WI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Database, Information Systems, Databases, Computer Engineering, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Warehousing, Database Design, Python (Programming Language), Software Engineering, SQL Databases, Technical Data Management Systems, Data Storage Technologies, Cloud Platform System, Apache Spark, Data Lakes, Information Technology, Data Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** August 5, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/sr-data-engineer-menomonee-falls-wi-usa-58836764

## About the Role

source to translate data needs into technical solutions * Establish and maintain data quality checks, validation rules, and monitoring processes * Develop and optimize data warehouses, data lakes, and cloud-based data platforms for performance and scalability * Create reusable data assets, curated datasets, and documentation enabling self-service reporting and visibility * Collaborate with software developers and IT on secure data architecture, source control, deployment, and best practices * Translate business strategy into technical data solutions to improve efficiency and decision speed * Monitor pipeline performance, troubleshoot issues, and improve data reliability and observability * Mentor teams on data engineering standards, coding practices, documentation, and governance * Adhere to timelines in a fast-paced environment while balancing technical excellence with business impact Tasks * Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information aaaaaa
in or related field; equivalent experience may be considered * 5+ years of experience in data engineering, software engineering, or related roles * Strong proficiency in SQL and at least one language (Python, C#, Java, or Scala) * Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, databases, and cloud platforms * Experience with Azure or AWS cloud environments and data storage, compute, orchestration, and security concepts * Knowledge of data modeling, database design, data integration patterns, APIs, and scalable architecture * Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or automated testing * Strong understanding of data quality, governance, security, documentation, and monitoring * Ability to map complex business processes to data solutions and create process maps * Strong analytical, problem-solving, and communication skills with cross-functional influence Key requirements *

## Description

Experteer Overview In this Sr. Data Engineer role, you design and maintain scalable data pipelines and analytics platforms to enable faster, trusted decision-making across engineering, test labs, and product development. You will transform raw data into governance-ready data products and partner with cross-functional teams to translate business needs into technical solutions. The role focuses on data quality, reliability, and scalable cloud-based data architecture to support self-service analytics and operational visibility. You will work in a fast-paced, high-energy environment, contributing to data-driven transformation and impact. Compensation / Benefits * Design, develop, and maintain scalable data pipelines, data models, and data integration solutions supporting engineering and test operations * Build reliable ETL/ELT processes to ingest, transform, validate, and deliver data to analytics-ready environments * Collaborate with engineering, lab ops, IT, analytics, and business stakeholders to translate data needs into technical solutions * Establish and maintain data quality checks, validation rules, and monitoring processes * Develop and optimize data warehouses, data lakes, and cloud-based data platforms for performance and scalability * Create reusable data assets, curated datasets, and documentation enabling self-service reporting and visibility * Collaborate with software developers and IT on secure data architecture, source control, deployment, and best practices * Translate business strategy into technical data solutions to improve efficiency and decision speed * Monitor pipeline performance, troubleshoot issues, and improve data reliability and observability * Mentor teams on data engineering standards, coding practices, documentation, and governance * Adhere to timelines in a fast-paced environment while balancing technical excellence with business impact Tasks * Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, or related field; equivalent experience may be considered * 5+ years of experience in data engineering, software engineering, or related roles * Strong proficiency in SQL and at least one language (Python, C#, Java, or Scala) * Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, databases, and cloud platforms * Experience with Azure or AWS cloud environments and data storage, compute, orchestration, and security concepts * Knowledge of data modeling, database design, data integration patterns, APIs, and scalable architecture * Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or automated testing * Strong understanding of data quality, governance, security, documentation, and monitoring * Ability to map complex business processes to data solutions and create process maps * Strong analytical, problem-solving, and communication skills with cross-functional influence Key requirements *


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