Logo
Ness Group

Senior Data Engineer

Ness Group, Boston, Massachusetts, us, 02298

Save Job

Location: Boston, MA, United States — Hybrid (4 days from office) Date Created: Nov 11, 2025 Requisition ID: 7141

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

#J-18808-Ljbffr