Data Engineer Tableau and ETL Job Town of Texas Wisconsin USA,IT/Tech

The Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines and analytics workflows to support talent and workforce insights. This role requires strong expertise in data engineering, ETL processes, and data visualization tools. The ideal candidate will contribute to enterprise analytics platforms, ensuring data quality, governance, and performance while enabling data-driven decision-making across business functions.

Key Responsibilities

Build and optimize data pipelines and workflows to support analytics and reporting needs
Develop and maintain ETL processes using tools such as Alteryx and SQL-based platforms
Design, develop, and optimize queries using Snowflake and SQL Server for performance and scalability
Create and enhance dashboards and visualizations using Tableau and Power BI
Collaborate with business stakeholders to gather requirements and deliver analytics-ready data solutions
Design and implement scalable data models to support reporting and analytics use cases
Ensure data quality, consistency, and adherence to data governance standards
Maintain documentation for data pipelines, workflows, and reporting assets
Automate processes using tools such as Power Automate to improve efficiency
Integrate data from various sources using APIs
Implement monitoring, alerting, and auditing for data workflows
Participate in Agile processes including sprint planning and continuous improvement
Identify opportunities to enhance data workflows, automation, and platform performance

Required Qualifications

Bachelor’s degree in a technical field
5+ years of experience in data engineering and analytics
Strong expertise in SQL (Snowflake, SQL Server)
Proficiency in Python for data manipulation and automation
Hands‑on experience with ETL technologies and tools such as Alteryx
Extensive experience with Tableau and Power BI, including dashboard development and performance optimization
Experience with Power Automate for workflow automation
Strong understanding of data modeling (relational and dimensional) and ETL/ELT concepts
Experience with API integrations
Knowledge of data governance, data quality, and data security practices
Ability to implement monitoring, alerting, and auditing mechanisms for data workflows
Strong communication skills and ability to collaborate with stakeholders

Preferred Qualifications

Experience working in Agile development environments
Ability to translate complex data into actionable insights and business recommendations
Experience working with cross-functional teams and senior stakeholders