Join Kforce as a Financial Data Engineer and help strengthen the financial data foundation behind reporting and planning. This remote role in the United States focuses on building dependable ETL/ELT pipelines, integration reliability, and data models that support Finance and FP&A stakeholders. You will work across NetSuite, Microsoft Azure, and Power BI to deliver accurate, timely data with clear documentation and practical automation.
What you’ll do
- Design, develop, maintain, and optimize data pipelines connecting NetSuite, Azure, Power BI, and other enterprise financial systems.
- Build and maintain ETL/ELT processes to extract, transform, validate, and load financial and operational data.
- Develop and optimize SQL queries, stored procedures, views, and data transformation scripts.
- Troubleshoot integration failures, broken connections, and reporting inconsistencies to reduce disruption for the business.
- Manage data dependencies, schema changes, and NetSuite saved-search modifications that affect downstream reporting.
- Evaluate existing integrations and implement more reliable, scalable, and maintainable internal solutions.
- Support financial reporting datasets and Power BI reporting infrastructure, ensuring consistent delivery to Finance and FP&A.
- Create and optimize financial data models that support budgeting, forecasting, financial analysis, and management reporting.
- Investigate and resolve data discrepancies across financial applications and reporting environments.
- Collaborate with finance teams to translate reporting requirements into technical solutions.
- Implement automated data validation, monitoring, and quality controls.
- Support data integration and reporting needs tied to Workday Adaptive Planning, including financial data flows between NetSuite and connected platforms.
- Partner with business and technology stakeholders on financial systems enhancements and integration initiatives.
- Maintain technical documentation for data architecture, integrations, transformations, and troubleshooting.
- Monitor pipeline performance, identify issues proactively, and improve reliability with error handling, automated alerts, and integration monitoring.
- Identify opportunities to automate manual reporting and financial data preparation processes.
- Help establish best practices for data governance, security, documentation, and ongoing maintenance.
- Contribute to a long-term strategy for scalable financial data architecture and reporting infrastructure.
What you bring
- 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 data 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 skills and experience collaborating with finance and business stakeholders.
Tools and technologies you may work with
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.
- Experience with Azure Data Factory, Azure SQL Database, Azure Functions, or similar Azure 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 data modeling, star schemas, and financial data warehouses.
- Experience using Git, version control, CI/CD practices, and automated pipeline monitoring.
- 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 that supports evolving business needs.
Compensation: USD 110,000 - 120,000 per year.
Location: United States (remote).
