Role: Sr. Data Engineer - HR Data & Analytics

Location: Boston – Hybrid (4 days from office)

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

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