Data Engineer

Cynet Systems • Norfolk, VA

3d

About The Position

We are seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and optimizing scalable data pipelines for both batch and real-time processing. You will be responsible for building and maintaining robust ETL/ELT solutions, managing workflow orchestration, and implementing data transformation processes using modern data technologies. This role requires a deep understanding of data warehousing, data modeling, and distributed data systems, with a focus on ensuring data quality, integrity, and governance. You will collaborate with various teams to deliver enterprise-scale data solutions and support production environments.

Requirements

• Strong experience with SQL for complex query development, data modeling, and performance tuning.
• Proficiency in Python for data engineering and ETL development.
• Hands-on experience with SSIS (SQL Server Integration Services).
• Experience designing and managing workflows using Apache Airflow.
• Strong knowledge of Apache Spark for large-scale data processing.
• Experience working with Apache Iceberg tables and lakehouse architectures.
• Hands-on experience with Databricks for data engineering and analytics workloads.
• Strong understanding of data warehousing, ETL/ELT concepts, and distributed data systems.
• Experience with data quality, monitoring, and troubleshooting techniques.
• 5+ years of experience in Data Engineering, ETL Development, or Data Platform Engineering.
• Proven experience delivering enterprise-scale data solutions using modern data technologies.

Nice To Haves

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Familiarity with CI/CD pipelines and DevOps practices for data platforms.
• Knowledge of data governance, metadata management, and security best practices.
• Experience supporting large-scale enterprise data environments.

Responsibilities

• Design, develop, and optimize scalable data pipelines for batch and real-time data processing.
• Build and maintain robust ETL/ELT solutions using Python, SQL, and SSIS.
• Develop and manage workflow orchestration using Apache Airflow.
• Implement data transformation and processing solutions leveraging Apache Spark.
• Design, optimize, and support data lakehouse architectures using Databricks and Apache Iceberg.
• Ensure data quality, integrity, security, and governance across all data platforms.
• Monitor, troubleshoot, and optimize data ingestion and processing workflows.
• Collaborate with business analysts, data scientists, architects, and application teams to understand data requirements and deliver scalable solutions.
• Perform performance tuning of databases, Spark jobs, and data pipelines.
• Support production deployments and provide ongoing maintenance for critical data systems.
• Follow best practices for coding, documentation, testing, and release management.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior