Senior Data Engineer - Hybrid, AI-Driven Data Platforms

Cypress HCM; Lehi (UT); Hybrid; USD 91,000 - 123,000; Full time

Job summary

Cypress HCM in Lehi, UT, is seeking a Senior Data Engineer to design and build infrastructure for Finance, Accounting, and Business Model Strategy. You will architect data models, integrate disparate sources, and manage a data warehouse to enable insight discovery.

You will develop internal applications and processes to standardize contractual data, apply AI/LLMs to improve efficiency, and collaborate with internal partners to meet program goals.

Qualifications

• Bachelor’s degree in CS, data analytics or related field.
• 7+ years of experience in data engineering or a related role.
• Proficiency with SQL, Python and data warehousing concepts.
• Experience with Databricks and SQL Server is preferred.

Responsibilities

• Build, develop, test and deploy services and tools for Finance and Business Model Strategy.
• Design and maintain data warehouses and architect data models to support financial reporting.
• Develop and manage data pipelines from multiple sources.
• Participate in software development activities including design, coding, testing and documentation.
• Build systems to normalize data and surface insights for internal and external customers.
• Prototype ideas; explore trends in data analytics, LLMs, and AI.
• Collaborate with internal partners to meet program objectives.

Skills

SQL

Python

Data modeling

Analytics

Education

Bachelor’s degree in Computer Science, Data Analytics or relevant field

Master’s degree preferred

Tools

SQL Server

Databricks

Storage services

Job description

Cypress HCM in Lehi, UT, is seeking a Senior Data Engineer to design and build infrastructure for Finance, Accounting, and Business Model Strategy. You will architect data models, integrate disparate sources, and manage a data warehouse to enable insight discovery.

You will develop internal applications and processes to standardize contractual data, apply AI/LLMs to improve efficiency, and collaborate with internal partners to meet program goals.