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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, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Data Architecture, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Database Design, Python (Programming Language), Software Deployment, SQL Databases, Systems Integration, Cloud Platform System, Apache Spark, Data Lakes, Data Pipelines, Databricks
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/sr-data-engineer-menomonee-falls-wi-usa-58857461

## About the Role

* Establish data quality checks, validation rules, and monitoring to ensure trusted data * Develop and optimize data warehouses, data lakes, and cloud-based platforms for performance and scalability * Create reusable data assets, curated datasets, and documentation to enable self-service analytics * Collaborate on secure data architecture, system integrations, and deployment best practices * Translate business strategy into data solutions to improve efficiency and decision speed * Monitor pipelines, troubleshoot issues, and improve reliability and observability * Mentor team members on standards, governance, and documentation * Balance speed and technical excellence in a fast-paced environment Tasks * Bachelor's degree in a related technical field * 5+ years of experience in data 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, relational
databases, and cloud platforms * Experience with Azure or AWS cloud environments * Knowledge of data modeling, database design, data integration, APIs, and scalable architecture * Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or similar tools * Understanding of data quality, governance, security, documentation, and monitoring * Ability to map complex business processes to data solutions * Strong analytical, problem-solving, and cross-functional communication skills Key requirements *

## Description

Experteer Overview As Sr. Data Engineer, you will design and scale data systems that enable fast, reliable decision-making across engineering, test labs, and product development. You will partner with cross-functional teams to transform raw data into governance-ready analytics products through modern pipelines, cloud platforms, and data modeling. You'll build robust ETL/ELT processes, ensure data quality, and optimize data warehouses and lakes for performance and scalability. This role offers hands-on impact shaping data architecture and governance in a fast-paced, transformation-driven environment. Compensation / Benefits * Design, develop, and maintain scalable data pipelines, models, and integration solutions for engineering and test operations * Build reliable ETL/ELT processes to ingest, transform, validate, and deliver data to analytics environments * Partner with engineering, lab operations, IT, analytics, and business stakeholders to translate data needs into technical solutions * Establish data quality checks, validation rules, and monitoring to ensure trusted data * Develop and optimize data warehouses, data lakes, and cloud-based platforms for performance and scalability * Create reusable data assets, curated datasets, and documentation to enable self-service analytics * Collaborate on secure data architecture, system integrations, and deployment best practices * Translate business strategy into data solutions to improve efficiency and decision speed * Monitor pipelines, troubleshoot issues, and improve reliability and observability * Mentor team members on standards, governance, and documentation * Balance speed and technical excellence in a fast-paced environment Tasks * Bachelor's degree in a related technical field * 5+ years of experience in data 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, relational databases, and cloud platforms * Experience with Azure or AWS cloud environments * Knowledge of data modeling, database design, data integration, APIs, and scalable architecture * Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or similar tools * Understanding of data quality, governance, security, documentation, and monitoring * Ability to map complex business processes to data solutions * Strong analytical, problem-solving, and cross-functional communication skills Key requirements *


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