Senior Data Engineer

Meridian Systematics is seeking a Senior Data Engineer to design, build, and maintain data-driven infrastructure that supports analysis and decision-making. The role focuses on delivering reliable, accessible data pipelines and storage solutions in collaboration with data scientists, analysts, and business stakeholders.

Location and Compensation

• Work mode: Hybrid remote
• Location: Springfield, VA 22152
• Salary: USD 130,000 to 180,000 per year (also listed as $130,000.00 to $180,000.00 per year)

Education

• Bachelor's degree in Computer Science, Engineering, or a related field

Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Implement and manage ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to move and transform data across systems.
• Build and maintain unified catalog, data warehouse, and/or data lake solutions, including creating and managing table schemas to store and organize data effectively.
• Improve data quality and reliability by creating data validation methods and applying data governance and security policies.
• Collaborate 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.

Required Qualifications

• Active Top Secret clearance (Required)
• 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 of: Python, Java, or Scala
• Strong experience with both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
• Hands-on experience with big data tools such as Apache Spark, Hadoop, or Kafka
• Familiarity with cloud services including AWS, Azure, or Google Cloud
• Experience with ETL frameworks and tools such as Talend, Informatica, or AWS Glue

Preferred Qualifications

• 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

Technologies

• SQL, Python, Java, Scala
• MySQL, PostgreSQL, MongoDB, Cassandra
• Apache Spark, Hadoop, Kafka
• AWS, Azure, Google Cloud
• Talend, Informatica, AWS Glue
• Docker, Kubernetes
• Jenkins, GitLab CI
• ETL (Extract, Transform, Load), ELT (Extract, Load, Transform)

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance