Senior Data Engineer

EagleBank•Bethesda, MD

22d•Hybrid

About The Position

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.

Requirements

Master’s Degree in information systems, or a closely related field
2 years of experience in the job offered or as Data Engineer
2 years of experience using: Python, SQL, Snowflake
2 years of experience using AWS (EMR, Lambda, S3, RDS)
2 years of experience with CI/CD pipelines in Gitlab
Manage and optimize PySpark
Must possess SnowPro Certification

Responsibilities

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