Data Engineer

Securityplus Federal Credit Union • Milford Mill, MD

3h • Onsite

About The Position

Securityplus Federal Credit Union is undergoing a significant technological transformation to become a leading financial institution in its market. This Data Engineer role is crucial to that vision, requiring an experienced individual who embodies the CARES values (Collaboration, Agility, Respect, Excellence, and Spirit). The successful candidate will be responsible for designing, building, and managing robust data pipelines to leverage the full potential of the credit union's data. This involves being the primary engine for extracting and transforming data from the core banking system (Fiserv DNA) to support various initiatives, including CRM implementation and advanced Business Intelligence visualizations. The role requires direct collaboration with the executive team to translate data needs into actionable dashboards and reports. The ideal candidate should have strong proficiency in Python, experience with complex data transformations, and the ability to deliver impactful dashboards using tools like Power BI, Tableau, or Grafana.

Requirements

• Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field; equivalent combination of education and relevant experience will be considered
• 3–5 years of professional experience in data engineering or a similar role
• Strong proficiency in Python, specifically for data manipulation and automation
• Advanced SQL skills and experience working with complex relational databases
• Experience building and deploying data visualizations using modern BI tools (Power BI, Tableau, etc.)
• Demonstrated ability to work independently and manage multiple data initiatives simultaneously
• Excellent communication skills with the ability to explain technical data concepts to non-technical business leaders

Nice To Haves

• Direct experience working with Fiserv DNA or other banking core systems
• Previous experience in the credit union or broader financial services industry
• Hands-on experience with Microsoft Power BI
• Proficiency with Python data science libraries (Pandas, NumPy, Matplotlib)
• Familiarity with cloud data platforms (e.g., Azure SQL, AWS RDS)
• Experience with legacy data parsing tools and migration to modern codebases

Responsibilities

• Develop, construct, test, and maintain highly scalable data management systems and pipelines using Python.
• Extract, transform, and load (ETL) complex datasets from the Fiserv DNA core system to support various business units.
• Troubleshoot data issues and optimize pipeline performance to ensure reliability and accuracy.
• Translate legacy data extraction and filtering processes into clean, efficient Python scripts.
• Implement data quality frameworks including validation checks, monitoring, alerting, and automated reconciliation to improve data integrity across the organization.
• Collaborate directly with executive and senior leaders to understand their data needs and deliver accurate business intelligence visualizations.
• Build and deploy impactful dashboards using modern BI tools (Power BI, Tableau, Grafana) that support strategic decision-making.
• Play a critical role in the data architecture and integration strategy for current and future projects.
• Ensure data architecture is secure, scalable, and adheres to credit union compliance, data governance, and sovereignty standards.
• Support compliance and regulatory reporting requirements (e.g., NCUA Call Reports, HMDA, BSA/AML) by ensuring accurate and auditable data flows.
• Create and maintain comprehensive documentation for data pipelines, data dictionaries, and architectural diagrams.

Benefits

• You’ll be part of a credit union that empowers people with financial security.
• We offer a competitive salary and comprehensive retirement benefits, including a 401(k) with company contributions, health, dental, and vision coverage, along with the opportunity to earn an annual performance bonus.
• We value internal development and offer opportunities for career progression into new roles and other departments.
• We believe in work/life balance. No burnout allowed here!
• No egos, no endless meetings—just a team of passionate people who genuinely love working together.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees