Data Engineer

Data EngineerLocation: West Bend, Wisconsin, United States (Hybrid)Industry: Consumer ServicesWork Setting: HybridAre you passionate about building scalable data solutions, transforming complex data into meaningful business insights, and driving data-driven decision-making across the organization? We are seeking a Data Engineer to develop, maintain, and optimize data platforms and pipelines that enable reliable analytics, reporting, and business intelligence. This role offers the opportunity to work closely with data, analytics, and technology teams to deliver high-quality data solutions that support strategic business objectives.Key ResponsibilitiesDesign, develop, and maintain data pipelines and processing frameworks to collect, transform, and deliver high-quality data for reporting and analytics.Build clean, reliable, and reusable datasets that support business intelligence, performance tracking, and decision-making initiatives.Implement and maintain data transformation standards, ensuring consistency, accuracy, and compliance with established data governance requirements.Support data quality initiatives through data profiling, validation, cleansing, normalization, and continuous monitoring processes.Apply engineering best practices, including CI/CD, automated testing, performance optimization, and deployment automation.Collaborate with data architects and cross-functional stakeholders to maintain consistent and scalable data models.Manage data integration, data preparation, and ongoing maintenance activities to support evolving business requirements.Analyze datasets to identify trends, anomalies, patterns, and opportunities for operational and business improvements.Troubleshoot data-related issues, investigate root causes, and implement sustainable solutions.Support data security, privacy, and compliance initiatives by following established policies and best practices for handling sensitive information.Required QualificationsHigh school diploma or equivalent required.Associate's or Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Data Science, or a related field preferred.2 to 5 years of experience in Data Engineering, Business Intelligence, Data Analytics, or a related discipline.Strong SQL skills with 3 to 5 years of experience designing queries, developing reports, and managing data transformations.Solid understanding of ETL and ELT methodologies, data warehousing concepts, and data integration techniques.Experience working with analytical data models and data processing frameworks.Strong problem-solving, analytical, and troubleshooting skills.Ability to work effectively in collaborative, cross-functional environments.Preferred QualificationsExperience working with cloud-based data platforms and services, particularly AWS technologies such as S3, EMR, or similar solutions.Proficiency in Python and other scripting languages used for data engineering and automation.Experience with modern data transformation tools such as dbt or similar platforms.Knowledge of Agile software development methodologies and participation in Agile delivery teams.Familiarity with CI/CD pipelines, automated testing frameworks, and DevOps best practices.Experience supporting enterprise data warehouses, reporting platforms, and business intelligence environments.Strong understanding of data quality management, data governance, and metadata management principles.Ability to analyze large datasets and translate findings into actionable business insights.Experience with data security, privacy standards, and handling sensitive information in compliance with organizational policies.