Junior Data Engineer

<Job Summary>
Join our innovative team as a Junior Data Engineer and become a vital contributor to our data-driven initiatives! In this energetic role, you will support the development, deployment, and maintenance of scalable data pipelines and architectures. Your enthusiasm for data analysis and engineering will help transform complex datasets into actionable insights, empowering decision-makers across the organization. This position offers a fantastic opportunity to grow your skills in cloud platforms, big data technologies, and modern data tools while working in a collaborative and dynamic environment.

<Duties>

• Design, develop, and maintain robust ETL/ELT data pipelines using Python and AWS services
• Build and optimize data lakes, data warehouses, and data marts on AWS
• Ingest, transform, and process structured and unstructured data from multiple sources
• Ensure data quality, integrity, security, and compliance with federal standards
• Collaborate with data scientists, analysts, and application teams to support analytics and reporting
• Optimize performance, cost, and scalability of data workflows in AWS
• Implement data governance, metadata management, and logging/monitoring practices
• Support documentation, data models, and technical design artifacts
• Troubleshoot production issues and support ongoing enhancements

Required Qualifications

• 2+ years of hands-on experience as a Data Engineer or similar role
• Proficiency in Python for data processing and automation
• Experience with AWS, including services such as:
• S3, EC2, Lambda
• Glue, Athena, Redshift
• EMR, CloudWatch (preferred)
• Experience with SQL and relational/non-relational databases
• Experience building batch and/or streaming data pipelines
• Familiarity with CI/CD pipelines, version control (Git), and DevOps practices
• Experience working in federal or regulated environments

Preferred Qualifications

• US Census Clearance (active or previously held)
• Experience with big data technologies (Spark, PySpark, Hadoop)
• Knowledge of data security, encryption, and access controls in AWS
• Exposure to data orchestration tools (Airflow, Step Functions, etc.)
• Experience supporting analytics, BI, or AI/ML workloads
• Build and optimize data lakes, data warehouses, and data marts on AWS
• Ingest, transform, and process structured and unstructured data from multiple sources
• Ensure data quality, integrity, security, and compliance with federal standards
• Collaborate with data scientists, analysts, and application teams to support analytics and reporting
• Optimize performance, cost, and scalability of data workflows in AWS
• Implement data governance, metadata management, and logging/monitoring practices
• Support documentation, data models, and technical design artifacts
• Troubleshoot production issues and support ongoing enhancements

Pay: $75,000.00 - $80,000.00 per year

Benefits:

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

Work Location: Hybrid remote in Reston, VA 20190