JOB TITLE : Data Engineer 3
LOCATION : San Jose, CA (Hybrid)
PAY RANGE : $55-$65 / hr.
DURATION : 12 months
TOP 3 SKILLS :
- Strong proficiency in Python, SQL / PLSQL, and big data technologies (e.g., Azure Databricks).
- Proven experience in data warehousing, data modeling, and ETL development (Airflow or similar).
- Ability to design and develop analytics solutions integrating SAP HANA, SQL Server, and other enterprise databases.
Company :
Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.
Job Description :
The Financial Data Engineer will leverage technical expertise to develop analytics products that generate insights into financial metrics and the customer journey. This role requires a hands-on approach to technology, solving complex technical and business issues, and enabling tools for self-service analytics. The ideal candidate delivers high-quality projects on time and supports the financial analyst community with scalable solutions.
Who You Are :
Able to work independently and manage priorities under tight deadlines.Skilled at troubleshooting and resolving issues with minimal escalation.Exercise sound judgment and a pragmatic approach to solution delivery.Customer service-oriented with strong communication and documentation skills.Responsibilities :
Develop models to communicate current state, future state, and gaps supporting decision-making.Refine existing models to improve flexibility and alignment with evolving requirements.Participate in project design, technical reviews, and conceptual modeling to guide toward positive business outcomes.Document and demonstrate solutions through design docs, presentations, and code.Required Skills :
Strong proficiency in Python, SQL / PLSQL, and big data technologies (e.g., Azure Databricks).Experience with enterprise data warehousing, data modeling, and performance optimization.Proven ability to design, develop, and migrate data analytics solutions integrating SAP HANA, SQL Server, and other databases.Familiarity with analytics reporting for sales, bookings, finance, and subscription domains.Strong ETL development experience, including data warehouse metadata modeling and automation of data loading processes.Experience with Airflow or other ETL tools (preferred).Knowledge of Tableau or Power BI for BI and visualization (plus).Solid operational expertise in monitoring, troubleshooting, and tuning systems (CPU, memory, OS, network, etc.).Education & Experience :
Bachelor's or master's degree in computer science, Information Technology, Engineering, or related field.5+ years of relevant experience.BENEFITS SUMMARY : Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123