Data Engineer

Job Description: 

(3+) years of experience supporting the development and maintenance of data pipelines and infrastructure on AWS. Help ensure data is accessible, reliable, and efficiently processed to support business analytics and decision-making.

Location: DC,Chantilly office Tuesdays and Rosslyn office Wednesdays

Responsibilities:

• Assist in the development and maintenance of data pipelines and ETL processes to ingest, transform, and load data from various sources into our AWS data platform.
• Support the implementation and optimization of data models, databases, and data warehouses.
• Help ensure data quality, integrity, and consistency by performing data validation and cleansing tasks.
• Collaborate with senior data engineers to optimize data storage and retrieval using AWS services such as Redshift, RDS, S3, Glue, and Athena.
• Write and maintain automation scripts and tools for data processing and monitoring.
• Work with data scientists, analysts, and business stakeholders to understand data requirements and assist in delivering data solutions.
• Participate in troubleshooting and resolving data-related issues.
• Document processes, configurations, and best practices for data engineering tasks.

Desired Skills:

• Experience in data engineering, preferably with AWS.
• Basic knowledge of AWS data services such as Redshift, RDS, S3, Glue, and Athena.
• Understanding of data modeling, data warehousing, and data architecture principles.

Preferred Skills:

• Cloud
• AWS
• Data Platforms
• Microservices