Job Title: Sr. Data Engineer - HR Data & Analytics 
Location: Boston – Hybrid (4 days from office) 
Duration: 12+ Months
RM notes: Snowflake, HRIS, SQL, Python.  

Key Responsibilities   

• Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting.  
• Design, build, and maintain Snowflake objects including tables, views, and stored procedures.  
• Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes.  
• Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets.  
• Manage technical metadata and documentation for data warehousing and migration efforts.  
• Optimize performance of data transformation pipelines and monitor integration performance.  
• Design, configure, and optimize integrations between Workday and third-party applications.  
• Participate in system testing including unit, integration, and regression phases.  
• Support data analysis needs throughout the implementation lifecycle.  

Required Experience & Skills   

• Experience with Snowflake or similar data warehouse platforms  
• Strong SQL skills and experience with data transformation tools   
• Experience with ETL processes and data validation techniques   
• Understanding of HR data structures and relationships   
• Excellent analytical and problem-solving abilities   
• Experience with developing with Python  
• Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization  

Preferred Experience & Skills  

• Experience in developing and supporting a data warehouse serving the HR domain  
• Experience with data platforms where SCD Type 2 was required  
• Experience with data visualization tools such as Tableau  
• Experience with architecting or working with ELT technologies (such as DBT) and data architectures  
• Understanding of HR processes, compliance requirements, and industry best practices