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Data Engineer, Finance

United States, Birmingham · Job Posted June 28, 2026
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Job Description

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.)

What we offer

  • options for healthcare coverage
  • 401(k)
  • tuition reimbursement
  • vacation
  • sick pay
  • holiday pay
  • Flexible Working Schedules
  • Wellbeing Programs
  • Learning Opportunities
  • Community Engagement
  • Paid Parental Leave
  • Pet Insurance

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