Data Engineer

$55 - $60 per hour

Cynet Systems

Norfolk, VA

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

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.

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.

Nice to Have:

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.

Skills:

SQL.
Python.
SSIS.
Airflow.
Spark.
Iceberg.
Databricks.
ETL/ELT.
Data Modeling.
Data Warehousing.

Qualification And Education:

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Apply

Vacancy posted 1 day ago

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