A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Senior Data Engineer EagleBank 401(k), remote work United States, Maryland, Bethesda Jul 31, 2026 Senior Data Engineer
Location :
Location US-MD-Bethesda
ID 2026-2299
Location :
Address 7500 Old Georgetown Road Position Type Full Time Regular Business Unit Description Finance Overview We are a values driven organization putting Relationships FIRST. EagleBank (NASDAQ - EGBN) is focused on being Flexible, Involved, Responsive, Strong, and Trusted. By prioritizing meaningful connections with our customers, employees, and shareholders, we relentlessly deliver the most compelling, valuable service to our customers. EagleBank is committed to inclusion, equity, and respect. We celebrate diversity and intentionally seek out opportunities to learn from one another's experience. We believe employees are essential to the building of relationships and we prioritize investing in employee growth and wellbeing. Employee involvement is fostered through resource groups, mentorship programs, community service, and scholarship opportunities for continued education. With features including maternity and parental leaves, wellness discounts, healthcare premium sharing, employer funding in your HSA account, and 100% 401(k) matching up to 4%, we pride ourselves in the ways we support our internal relationships.
Salary:
$155,938 per annum. We understand the need to be creative and flexible when it comes to telecommuting and other alternative work arrangements. This position is eligible for our hybrid remote work and will work in the Bethesda, MD office Monday - Thursday every week. Responsibilities Senior Data Engineer sought by Eagle Bancorp, Inc. d/b/a Eaglebank in Bethesda, MD. Build, optimize data pipelines for data ingestion, transformation, loading sources while ensuring data quality and integrity; support design and development of scalable data architectures and systems. Collaborate with internal customers to provide solutions for data exploration, analysis, modeling. Implement testing, validation and pipeline observability.
Qualifications Requirements:
Master's Degree in information systems, or a closely related field. Requires 2 years of experience in the job offered or as Data Engineer. Must have must have 2 years of experience using: Python, SQL, Snowflake
AWS (EMR, Lambda, S3, RDS)
CI/CD pipelines in Gitlab
Manage and optimize PySpark
Must possess SnowPro Certification
