HR Data Engineer: Snowflake & Workday Integrations

Smart4 Energy; Boston (MA); Hybrid; USD 100,000 - 105,000; Full time

Job summary

A leading energy solutions provider is seeking a Data Engineer in Boston, MA to design and implement Snowflake data models, translate business needs into data strategies, and optimize data transformation processes. This contract position requires strong SQL skills and experience with data warehousing solutions, as well as a background in HR data structures. The ideal candidate should possess excellent analytical abilities, a solid understanding of data governance, and proficiency in Python.

Qualifications

• 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.
• Exposure to Data Warehousing supporting advanced reporting.

Responsibilities

• Translate business needs into data modeling strategies.
• Design, build, and maintain Snowflake objects including tables, views, and procedures.
• Develop and execute SQL or Python transformations.
• Establish data governance standards.
• Manage technical metadata for data warehousing.
• Optimize performance of data transformation pipelines.
• Design integrations between Workday and third-party applications.
• Participate in system testing.
• Support data analysis needs throughout implementation.

Skills

Snowflake

SQL

Data transformation tools

ETL processes

Data validation techniques

Python

Data warehousing

Job description

A leading energy solutions provider is seeking a Data Engineer in Boston, MA to design and implement Snowflake data models, translate business needs into data strategies, and optimize data transformation processes. This contract position requires strong SQL skills and experience with data warehousing solutions, as well as a background in HR data structures. The ideal candidate should possess excellent analytical abilities, a solid understanding of data governance, and proficiency in Python.