[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. They are seeking a Data Engineer to design, build, and maintain enterprise data infrastructure and analytics platforms, serving as the technical owner of data architecture and ensuring data quality and governance across the organization.
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
- 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
Skills
- 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
- 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
- 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
Benefits
- Access to top jobs
- Competitive compensation and benefits
- Free online training
- Medical, vision, dental, and life and disability insurance
- Eligible to enroll in our company 401(k) plan
Company Overview