Data Engineer 3

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.

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