Sr. Data Engineer - HR Data & Analytics

Role: Sr. Data Engineer - HR Data & Analytics Location: Boston – Hybrid (4 days from office) 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