Financial Data Engineer

Kforce is seeking a hands-on Financial Data Engineer to build and enhance financial data infrastructure, integrations, and reporting capabilities across enterprise systems.

Responsibilities

• Design, develop, maintain, and optimize data pipelines connecting NetSuite, Azure, Power BI, and other financial applications
• Build and maintain ETL/ELT processes to extract, transform, validate, and load financial and operational data
• Develop and optimize SQL assets including complex queries, stored procedures, views, and data transformation scripts
• Troubleshoot integration failures, broken data connections, and reporting inconsistencies to reduce business disruption
• Manage data dependencies, schema changes, and NetSuite saved-search updates that affect downstream reporting
• Assess existing integrations and implement more reliable, scalable, and maintainable internal solutions
• Support financial reporting datasets and Power BI reporting infrastructure
• Deliver accurate, timely, and consistent data to Finance and FP&A stakeholders
• Create and optimize financial data models for budgeting, forecasting, financial analysis, and management reporting
• Investigate and resolve data discrepancies across financial applications and reporting environments
• Partner with finance teams to translate reporting requirements into technical solutions
• Implement automated data validation, monitoring, and quality controls
• Support data integration and reporting requirements tied to Workday Adaptive Planning
• Maintain and enhance financial data flows between NetSuite and connected reporting and planning platforms
• Collaborate with business and technology stakeholders on financial system enhancements and integration initiatives
• Support changes to reporting structures, data mappings, and business processes as systems evolve
• Create technical documentation for data architecture, integrations, transformations, and troubleshooting procedures
• Monitor pipeline performance, identify risks, and proactively implement improvements
• Improve reliability with error handling, automated alerts, and integration monitoring
• Identify opportunities to automate manual reporting and financial data preparation work
• Establish best practices for data governance, security, documentation, and ongoing maintenance
• Contribute to long-term strategy for scalable financial data architecture and reporting infrastructure

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Finance, or a related field, or equivalent professional experience
• 3–5+ years of experience in data engineering, database development, financial systems integration, or a related technical role
• Strong SQL skills including complex queries, joins, stored procedures, troubleshooting, and performance optimization
• Hands-on experience building and supporting ETL/ELT pipelines and system-to-system data integrations
• Experience with Microsoft Azure data services or other cloud-based data integration environments
• Experience supporting Power BI datasets, data models, and reporting infrastructure
• Ability to diagnose and resolve pipeline failures, integration errors, and reporting inconsistencies
• Understanding of relational databases, data transformation, and data quality practices
• Strong problem-solving skills with independent ownership from investigation through resolution
• Effective communication and experience collaborating with finance and business stakeholders

Technologies

• SQL, Microsoft Azure, Power BI, NetSuite
• Workday Adaptive Planning, ETL, ELT
• Stored procedures, Views, Data transformation scripts
• REST APIs, SuiteQL, SuiteTalk, SuiteAnalytics
• Azure Data Factory, Azure SQL Database, Azure Functions
• Python, Git, CI/CD

Benefits

• 401(k)
• Health insurance
• Health savings account
• Life insurance
• Vision insurance

Preferred Qualifications

• Experience integrating Oracle NetSuite with cloud databases, reporting platforms, or other enterprise applications
• Familiarity with NetSuite saved searches, SuiteAnalytics, SuiteQL, REST APIs, or SuiteTalk
• Familiarity with Azure services including Azure Data Factory, Azure SQL Database, Azure Functions, or similar integration services
• Familiarity with Workday Adaptive Planning and financial planning data integrations
• Experience with Python, scripting, and workflow automation
• Understanding of general ledger structures, chart of accounts, financial close processes, budgeting, and forecasting
• Familiarity with dimensional modeling, star schemas, and financial data warehouses
• Experience using Git, version control, CI/CD practices, and automated pipeline monitoring
• Prior experience in multi-entity organizations or environments with complex financial reporting requirements

What Success Looks Like

• Reliable, well-documented financial data pipelines that consistently deliver accurate information to reporting and planning systems
• Faster identification and resolution of integration and reporting issues
• Reduced manual data intervention and improved automation across financial workflows
• Improved confidence in financial reporting and analytics
• A scalable and internally maintainable financial data architecture supporting evolving business needs

Location: United States (remote) • Compensation: USD 110,000 - 120,000 per yearly • Experience: 3+ years • Education: Bachelor’s degree or equivalent experience