Data Engineer, Finance

Genuine Parts Company•Birmingham, AL

21h

About The Position

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. This role requires a strong background in database design, with the primary focus on designing, developing, and maintaining ETL pipelines within cloud-based data platforms. This role reports to the Business Intelligence Manager inside of Finance and requires collaboration with both finance and IT teams to gather requirements and deliver solutions. A strong candidate will have a passion for data, analytical skills and Finance knowledge. This, coupled with the ability to leverage deep technical expertise, will allow for the efficient creation of accurate and actionable data sets.

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 Haves

Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology is preferred.
Experience with data visualization tools (Qlik, PowerBI, etc.) preferred.

Responsibilities

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.