Data Engineer

Ready to help transform how financial data drives business decisions? Our client is seeking a hands-on Data Engineer to build modern cloud-based data solutions, helping shape the future of financial reporting and analytics. You’ll play a key role in a high-impact migration to Microsoft’s modern data platform while delivering trusted insights across the organization.

C2C is not an option with this job opening, and all applicants must be able to work for any U.S. employer without sponsorship. Sponsorship is not provided and will not be required in the future.

Benefits & Extras

• Join a high-visibility finance transformation initiative.
• Work with modern Microsoft technologies, including Power BI and Microsoft Fabric.
• Collaborate with Finance, IT, and business leaders on strategic initiatives.
• Opportunity to influence enterprise reporting and data governance.
• Be part of a collaborative team focused on innovation and continuous improvement.

Compensation

• $120,000

What You’ll Be Doing

• Design and maintain scalable ETL pipelines and cloud-based data solutions.
• Lead the migration of reporting assets from Qlik to Power BI and Microsoft Fabric.
• Build semantic models and data structures optimized for financial reporting.
• Develop Power BI dashboards and reporting solutions.
• Implement data security, governance, and row-level security (RLS).
• Monitor data quality through reconciliation and exception reporting.
• Partner with Finance, IT, and business stakeholders to deliver trusted analytics.

What You’ll Need to be Considered

• Experience developing ETL pipelines using modern data integration tools.
• Proficiency with Python and Databricks (PySpark) or comparable technologies.
• Hands-on experience building semantic models and dashboards in Power BI.
• Experience working with cloud data platforms such as Azure, Snowflake, AWS, or Google Cloud.
• Familiarity with Microsoft Fabric or enterprise reporting migrations.
• Knowledge of ERP or financial systems such as SAP, Oracle, or Workday.