Data Engineer — Financial Analytics, Hybrid

Job overview

The Data Engineer role is hybrid in San Jose, CA. Compensation is up to $65.49 per hour. The role supports the DME Planning Strategy & Consolidation team by developing an analytics product for financial metrics and customer journey insights. The engineer builds and refines data models and analytics solutions that help financial analysts work with data through self-service tools. The work combines hands-on technical delivery with collaboration on design and project decisions, aiming for reliable, high-quality solutions delivered on time.

What you'll do

• Create models that communicate current state, future state, and gaps for decision-making
• refine existing models
• participate in conceptual modeling, discovery, technical design reviews, and project meetings
• develop and document solutions
• design, develop, and migrate analytics solutions using data from SAP HANA, SQL Server, and other databases
• design, develop, and test ETL solutions and automate data loading
• monitor, troubleshoot, and tune services and applications.

What we're looking for

Skills & competencies

data engineer

financial data engineering

financial analytics

data modeling

python

sql

plsql

azure databricks

etl

sap hana

hybrid

san jose ca

up to $65.49 per hour

cypress hcm

Work arrangement

• Weekend coverage required

Why this role

Hybrid arrangement in San Jose; 12-month contract duration listed as December 8, 2025 to December 8, 2026. Required skills include Python, SQL/PLSQL, Azure Databricks, data warehousing, data modeling, and performance optimization.

About the employer

Cypress HCM is hiring for this role. Industry: Administrative Management and General Management Consulting Services. Sector: 54.