Smart4 Energy

Data Engineer: HR Systems (Boston, Massachusetts)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in HR Systems in Boston, MA, with a contract length of 3-4 days onsite weekly at a pay rate of $105/hr. Key skills include Snowflake, SQL, Python, and HR data experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
840
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🗓️ - Date
December 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Migration #Workday #"ETL (Extract #Transform #Load)" #Snowflake #Data Modeling #Data Engineering #SQL (Structured Query Language) #Data Governance #Metadata #Regression #Documentation #System Testing #Data Analysis #Data Warehouse #Data Mapping #Python
Role description
Data Engineer (HR Data Systems) Boston, MA 3-4 days onsite a week Pay Rate: $105/Hr 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 • Exposure to Data Warehousing solutions leveraging data from Workday or other HRIS such as SuccessFactors, etc. to support advanced reporting and insights for an organization