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Senior Data Engineer

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Senior Data Engineer

Cypress HCM

Senior Data Engineer

Skills

SQL QueriesPythonDatabricksData AnalysisAI

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Lehi, UT, USA

Work mode:

Remote

Published on:

2 October 2026

What they need


Job Details

  • Senior Data Engineer
  • Location: Lehi, UT 84043 (Hybrid: 2-3 days onsite). Flexible, open to remote candidates
  • Duration: 12/07/2026 - 07/02/2027 (Contract)
  • Team: CSS BCDD Finance Sys

Job Description

  • Design and build infrastructure to support Finance, Accounting, and Business Model Strategy organizations.
  • Architect data models, integrate disparate data sources, and manage a data warehouse to enable insight discovery.
  • Develop internal applications and processes to standardize collection and representation of contractual data.
  • Apply AI and large language models (LLMs) to solve problems and increase efficiency and productivity.

Responsibilities

  • Build, develop, test and deploy services and tools for Finance and Business Model Strategy organizations.
  • Design and maintain data warehouses and architect data models to support financial reporting and product consumption.
  • Develop and manage data pipelines for collecting, processing, and integrating data from multiple sources.
  • Participate in software development activities including design, coding, code review, testing, bug fixing and documentation.
  • Build systems and processes to normalize contractual and product usage data and surface insights to internal and external customers.
  • Rapidly prototype ideas and concepts; research trends in data analytics, LLMs, and AI.
  • Collaborate and strategize with internal partners; solicit feedback to build data products that meet program objectives.

Qualifications

  • Bachelor’s degree required; Master’s preferred in Computer Science, Data Analytics or relevant field.
  • 7+ years experience in a related role/field.
  • 7+ years experience with SQL, Python, or equivalent.
  • Proficiency with SQL Server, Databricks, storage services and other database technologies.
  • Experience with data pipeline orchestration, scheduling, and configuration.
  • Knowledge of database design and architecture principles; focus on delivering well-documented data products with high throughput and low latency.
  • Process orientation with strong attention to detail.

Preferred Qualifications

  • 2+ years of hands-on experience in Databricks.
  • Experience with LLMs, especially employing AI in code development, data analysis, and document summarization.
  • Familiarity with finance and accounting principles and core business performance metrics.
  • Understanding of common SaaS contract terms, structures, and verbiage.
  • Proven track record of taking independent action with internal customers to address pressing needs.

Compensation

  • Pay Rate: $51.41/hour

Requisition ID: 37697525

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