Title: Financial Data Engineer
Duration : 12 months
Location : San Jose, CA
The Challenge:
As a Financial Data Engineer, you will play a key role in developing analytics products that provide insights into financial metrics and the customer journey. This is a hands-on role requiring strong technical expertise, problem-solving skills, and the ability to deliver high-quality projects on time. You will also enable self-service tools for financial analysts and collaborate across teams to drive business outcomes.
Who You Are:
Able to work independently and manage priorities under tight deadlines.
Skilled in troubleshooting and resolving issues with minimal escalation.
Pragmatic in delivering solutions that balance business needs and technical constraints.
Strong communicator with a customer-service mindset.
Detail-oriented with a passion for documentation and clear communication.
Key Responsibilities:
- Develop models to represent current and future states, identifying gaps to support decision-making.
- Refine and enhance existing models to improve flexibility and alignment with evolving requirements.
- Participate in conceptual modeling, technical design, and project meetings to guide toward successful outcomes.
- Document solutions through design documentation, code comments, and presentations.
- Collaborate with cross-functional teams including finance, sales, and product to gather requirements and deliver insights.
Required Skills:
- Proficiency in Python, SQL/PLSQL, and big data technologies like Azure Databricks.
- Strong data modeling and performance optimization capabilities.
- Experience sourcing data from SAP HANA, SQL Server, and other databases.
- Familiarity with analytics reporting in sales, bookings, finance, and subscription domains.
- Ability to design and test ETL solutions, including metadata modeling and automation.
- Experience with Airflow or similar ETL orchestration tools (preferred).
- Knowledge of BI tools such as Tableau and Power BI (a plus).
- Operational expertise in monitoring and troubleshooting services/applications.
- Understanding of system performance factors like memory, CPU, storage, and networks.
Education & Experience:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 5+ years of experience in data engineering, analytics, or a similar role.
Equal Employment Opportunity Statement
Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law.
Americans with Disabilities Act (ADA)
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department.
Other Employment Statements
Intelliswift participates in the E-Verify program.
Learn More
For information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.
