Data Engineer

Securityplus Federal Credit Union • Milford Mill, MD

1h • Onsite

About The Position

Since 1938, Securityplus Federal Credit Union has proudly served members and communities as a not-for-profit financial institution, aiming to empower people with financial security through tools, resources, and guidance. Guided by CARES values (Collaboration, Agility, Respect, Excellence, and Spirit), they foster meaningful connections and deliver exceptional service, believing in doing right by members, supporting the team, and making a positive community impact. Their vision is to be the members' first choice by inspiring trust, confidence, and long-term relationships. Joining Securityplus means becoming part of a purpose-driven team focused on service, growth, and community. Securityplus is undergoing a major technological transformation to become a leading technologically advanced financial institution. This role is central to that vision, seeking an experienced Data Engineer who embodies the CARES values. The Data Engineer will design, build, and manage robust data pipelines to unlock the full potential of the credit union's data. This individual will be the primary engine for extracting and transforming data from the core banking system (Fiserv DNA) to support CRM implementation and advanced Business Intelligence visualizations, working directly with the executive team to translate data needs into actionable dashboards and reporting. The ideal candidate can make an immediate impact with strong Python proficiency, experience with complex data transformations, and skill in delivering 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