US_East | Data Engineer_L3

Data Engineer

Hanover, MD

Top 5 Required Skills

• ETL/ELT Pipeline Development and Optimization
• Data Modeling and Data Architecture
• Cloud Platforms (AWS, Azure, or GCP)
• Data Warehousing and Data Lakes
• Docker and Kubernetes

Position Summary

We are seeking a Data Engineer to design, develop, and maintain scalable data solutions that support enterprise analytics and business operations. The ideal candidate will have experience building robust data pipelines, implementing data models, and working with cloud-based data platforms.

Key Responsibilities:

• Data Pipeline & ETL Development
• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
• Build scalable batch and real-time data ingestion frameworks.
• Optimize data pipelines for performance, reliability, and cost efficiency.
• Data Modeling & Architecture
• Develop and maintain data models, data dictionaries, and architecture documentation.
• Design, implement, and support data warehouses and data lakes across cloud and on-premises environments.
• Ensure data quality, lineage, governance, and consistency across platforms.
• Cloud & Infrastructure
• Deploy, manage, and support data pipelines on cloud platforms such as AWS, Azure, or GCP.
• Utilize containerization technologies including Docker and Kubernetes as required.
• Collaboration & Support
• Partner with data scientists, machine learning engineers, analysts, and business stakeholders to support data-driven decision-making.
• Troubleshoot data-related issues and continuously improve system reliability and performance.
• Security & Compliance
• Ensure compliance with enterprise data security, privacy, and governance standards.
• Implement monitoring, logging, and alerting mechanisms for data pipelines and platforms.

Additional Information

• Location: Hanover, MD
• Start Date: June 29, 2026
• Background Check: Mandatory
• Meet and greet required prior to assignment start.
• Candidates must be willing to travel to the nearest Vendor, CLIENT, or designated onsite location as required by the project team.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.