Meridian Systematics is hiring a Senior Data Engineer for hybrid work in Springfield, VA.

Design, build, install, test, and maintain highly scalable data management systems
Implement and manage ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) to move and transform data between systems
Build and maintain unified catalog and data warehouse and/or data lake solutions, including creating and managing table schemas
Create data validation methods to ensure data quality and reliability
Implement data governance and security policies
Partner with data scientists, analysts, and business leaders to understand data needs and deliver solutions aligned with company objectives
Write scripts and use orchestration tools to automate repetitive tasks and data workflows
Monitor data system performance and optimize for speed, reliability, and cost-effectiveness

Bachelor's degree in Computer Science, Engineering, or a related field
Proven experience as a Data Engineer or in a similar role
Proficiency in SQL and at least one: Python, Java, or Scala
Strong experience with both:
- Relational databases (e.g., MySQL, PostgreSQL)
- NoSQL databases (e.g., MongoDB, Cassandra)
Hands-on experience with big data tools such as Apache Spark, Hadoop, or Kafka
Familiarity with cloud services: AWS, Azure, or Google Cloud
Experience with ETL frameworks and tools such as Talend, Informatica, or AWS Glue
Active Top Secret clearance (Required): Top Secret

Master's degree in a related field
Professional certifications such as AWS Certified, Google Cloud Certified Professional Data Engineer, IBM Certified Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
In-depth knowledge of data modeling techniques, including star and snowflake schemas
Experience with Docker and Kubernetes
Understanding of CI/CD principles and experience with related tools (e.g., Jenkins, GitLab CI)
Excellent communication and collaboration skills to work effectively with various teams

Senior Data Engineer

Job Description