Data Engineer

About the role

Robert Half is seeking a Data Engineer to design, build, and maintain enterprise data infrastructure and analytics platforms. This role will serve as the technical owner of data architecture, ensuring data quality, governance, and accessibility across the organization. This is a highly visible role supporting leadership and business teams by enabling reliable, data-driven decision-making through scalable data solutions and modern analytics tools.

Responsibilities

• Design and implement enterprise data architecture, including data models and integration patterns to establish a single source of truth
• Build and manage analytics platforms to support reporting and business intelligence initiatives
• Develop and maintain high-impact dashboards using Power BI or similar tools for leadership and operational teams
• Design and build automated ETL/ELT pipelines across multiple systems and data sources
• Define and enforce data governance standards, including metric definitions, data quality rules, and access controls
• Monitor and optimize data pipeline performance, including troubleshooting failures and implementing automated error handling
• Investigate and resolve data quality issues (e.g., duplicates, sync failures) and implement proactive monitoring solutions
• Enable self-service analytics by creating user-friendly data models and supporting end users with training and documentation
• Ensure compliance with data security and regulatory requirements, including proper data handling and access controls
• Partner with IT leadership to recommend tools, technologies, and best practices to enhance data capabilities

Qualifications

• Strong SQL expertise, including complex queries, performance tuning, and database design
• Experience with data modeling concepts (dimensional modeling, star schema, data vault, etc.)
• Proven experience building dashboards used by non-technical stakeholders (focus on usability and performance)
• Hands-on experience with data integration tools such as Fivetran, dbt, Talend, Azure Data Factory, or similar
• Proficiency with Power BI or other BI platforms (DAX, data modeling, report design)
• Experience working with APIs and RESTful web services for data integration
• Familiarity with version control (Git) and CI/CD practices for data pipelines
• Strong ability to translate business requirements into scalable technical solutions
• Experience supporting executive-level reporting and analytics

Nice to Have

• Experience working with ERP, CRM, or marketing automation data
• Understanding of data governance frameworks and best practices
• Exposure to payment systems or secure data environments