Data Engineer

Data Engineer

(may be remote from MD, VA, WV, DC, DE, TX, NC, FL, DE, IN)

Company Overview

Educational Systems FCU has proudly served the education community for 70 years. With over $1.3 billion in assets and 13 branches, the Credit Union serves more than 90,000 members. We are a fast-growing credit union who knows who we are, who we serve, and where we are going. Our vision is to make financial wellness and stability accessible for all the communities we serve. Our mission is to empower individuals and communities through accessible financial solutions. We are committed to fostering financial well-being by providing competitive solutions, personalized services, and educational resources. By building strong partnerships, supporting community growth, and promoting financial literacy, we strive to create a brighter future for our members, Ambassadors (employees), and the communities we serve.

About the Data Engineer Career Opportunity

The Data Engineer plays a pivotal role in advancing our data infrastructure, serving as the foundation of our AI and Data Analytics strategies. The position will be responsible for developing, deploying, and managing data engineering projects. Their primary focus is to assist the VP of Emerging Technologies in architecting the data platform (on premise, cloud and hybrid), data pipeline development, data governance and performance monitoring. Will also use AI in support of data management capabilities.

This position requires a Bachelor’s degree in data engineering, Information Systems or related technical field along with 5+ years’ experience in data engineering (building data pipes, data lakes, data warehouse). Must be proficient in constructing and managing modern data warehouse and data lake house architectures, ensuring scalable and efficient data storage and skilled in building and maintaining robust data pipelines and orchestrations, with a focus on scalability and reliability. The position requires deep knowledge of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for data transformation and integration along with experience with cloud platforms (AWS, Azure, or GCP), and orchestration tools as well as Data Governance - Data Quality Controls, General Ledger Reconciliations, Transmission and interface controls. Must be proficient in SQL and Python, with experience in data storage frameworks (Apache Spark, Databricks, or Hadoop).Banking & Financial Services data domain knowledge is strongly preferred.

To Apply

Please visit our website at https://www.esfcu.org and visit our Career page. We are an equal opportunity employer.