Data Engineer 3 Job at Cypress HCM, San Jose, CA

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  • Cypress HCM
  • San Jose, CA

Job Description

Job Description

Job Description

Data Engineer 3

Job Details

  • Data Engineer 3 (Contract)
  • Location: San Jose, CA 95110 (Hybrid)
  • Duration: 12/08/2025 to 12/08/2026
  • Team: DME Planning Strategy & Consolidation

About the Role:

  • The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey. Maintains a very hands-on focus for technology matters combined with an affinity for solving complex technical and business issues, enabling tools for self-service financial analyst community and delivering projects on time with very high quality.

Key Responsibilities:

  • Provide the creation of useful models to communicate current state, future state, and gap definitions in support of decision-making processes.
  • Consult in the refinement of existing models, adding new ideas to make the result more flexible and more tightly linked to current and expected requirements
  • Participates in project conceptual modeling, discovery processes, technical design/reviews, and project meetings in order to provide appropriate guidance that influences toward positive business outcomes.
  • You have the ability to work independently, prioritize individual workload, troubleshoot and remedy problems under pressing deadlines and with minimal need for escalation
  • You exercise good judgment and a pragmatic approach to delivering solutions that optimizes architecture activities across company needs, business constraints and varying technological realities
  • Document and demonstrate solutions by developing design documentation, code comments, presentations and code execution.
  • You are customer service oriented

Required Skills & Qualifications:

  • Bachelor/Master’s degree in computer science, Information Science, Information Technology or Engineering or a related Field
  • 5+ years’ experience
  • Strong Python, SQL/PLSQL skills and big data technologies like Azure Databricks with enterprise data warehousing experience.
  • Strong data modeling and performance optimization skills.
  • Ability to design, develop, and migrate data analytics solutions by sourcing data from SAP HANA, SQL Server and other databases.
  • Experience working with analytics reporting for sales, bookings, finance, and subscription business areas.
  • Ability to design, develop, and test ETL solutions, including modeling data warehouse metadata and automating data loading processes.
  • Experience with Airflow or other ETL tools is a plus.
  • Experience with BI technologies like Tableau and PowerBI is a plus.
  • Experience monitoring, troubleshooting and tuning services/applications and operational expertise such as good troubleshooting skills, understanding of systems capacity, bottlenecks, and basics of memory, CPU, OS, storage, and networks.

Compensation:

  • Up to $65.49 per hour.

# 36529305

Job Tags

Hourly pay, Contract work, Flexible hours

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