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Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision-making. The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and business stakeholders to deliver high-quality data solutions that improve reporting efficiency, strengthen controls, and support strategic initiatives. As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge between Finance and Technology, ensuring that financial data is accurate, accessible, and trusted across the organization.
Job Responsibility
Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs
Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance’s Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements
Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations
Maintains data models optimized for finance use cases
Develops processes to monitor data integrity including reconciliation, and exception reporting
Collaborate with software developers and data scientists to support advanced analytics and AI initiatives
Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments
Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format
Defines project scope, deliverables and timelines, ensuring on-time, high quality products
Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities
Performs other duties as assigned
Requirements
Requires a bachelor’s degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field
At least five (5) years of experience in data engineering or related technical roles
Strong SQL development and database design experience
Experience building ETL pipelines using modern data integration tools
Proficiency in Python, PySpark, Databricks or similar data engineering technologies
Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud
Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies
Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms
Strong analytical and problem-solving skills
Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences
Proven track record of successful project management, including the ability to prioritize tasks, manage deadlines, and ensure the delivery of high-quality solutions
Nice to have
Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology
Experience with data visualization tools (Qlik, PowerBI, etc.)