Data Engineer

Role Summary
The Talent Data Analytics team is seeking a highly skilled and motivated Data Engineer with a strong data background and proven Tableau development expertise. This role is responsible for designing, building, and optimizing scalable data pipelines and analytics workflows that enable high?quality Talent and HR insights.
The successful candidate will play a critical role in maintaining and evolving enterprise analytics platforms, enforcing data governance and best practices, and delivering performant, reliable data solutions that empower HR, Talent, and business leaders to make informed, data?driven decisions.
Key Responsibilities

• Build and optimize advanced Alteryx workflows to deliver scalable, reliable talent analytics and workforce insights.
• Design, develop, and maintain robust data pipelines using SQL (Snowflake, SQL Server), with a strong emphasis on performance tuning, query optimization, and scalability.
• Develop, enhance, and support interactive dashboards and visualizations in Tableau and Power BI, providing leadership with real?time insights and clear, compelling data storytelling.
• Partner closely with analysts and business stakeholders to translate requirements into well?designed, governed, and analytics?ready data solutions.
• Design and implement scalable data models that surface talent trends, automate workforce processes, and support evolving organizational analytics needs.
• Ensure data quality, accuracy, reliability, and consistency, adhering to enterprise data governance standards and analytics best practices.
• Establish, maintain, and enforce documentation standards for data pipelines, Alteryx workflows, Tableau/Power BI assets, and data definitions to support maintainability and knowledge sharing.
• Leverage Power Automate to streamline reporting workflows, reduce manual effort, and automate repetitive analytics processes.
• Collaborate with Talent, HR, and Business leaders to gather requirements, deliver actionable insights, and influence strategic decision?making.
• Continuously identify opportunities to automate processes, improve data workflows, and enhance platform performance across the analytics ecosystem.
• Contribute within an Agile delivery model, participating in sprint planning, backlog refinement, and continuous improvement

The Expertise and Skills You Bring:

• Bachelor's degree in a technical field and 5+ years of experience in data engineering and analytics.
• Strong expertise in SQL (Snowflake, SQL Server) is a must and Python for data manipulation and automation.
• Hands-on experience with ETL technologies and practical experience using Alteryx Designer for workflow creation and optimization.
• Extensive experience in Tableau and Power BI, including advanced visualization techniques and dashboard performance tuning.
• Experience with Power Automate for workflow automation.
• Solid understanding of data models (relational and dimensional) and ETL/ELT concepts/tools.
• API integration experience is required.
• Ability to set up monitoring, alerts, and auditing for data workflows.
• Solid grasp of data governance fundamentals, including data security, standards, and process refinement.
• Proven ability to collaborate and influence stakeholders at all levels, including senior leadership, through clear communication and compelling data narratives.
• Demonstrated talent for translating complex analytics into actionable business insights and strategic recommendations.