Data Engineer - All Levels

Overview:

FedWriters is growing its Artificial Intelligence and Machine Learning (AI/ML) capabilities to support anticipated projects and innovative solutions for future contracts. As part of this expanding team, you’ll have opportunities to shape impactful AI/ML models that advance decision-making and efficiency across diverse applications.

Recently recognized as a 2024 Top Workplace by the Washington Post, FedWriters offers a collaborative and growth-focused environment, ideal for forward-thinking professionals ready to drive the future of AI/ML.

We are looking for Data Engineers of all levels to build and maintain data pipelines that ensure efficient collection, storage, and processing of data. You will be responsible for developing and managing data infrastructure, integrating with various data sources, and supporting scalable model deployment for AI/ML applications. This role requires a understanding of data transformation processes, big data technologies, and cloud environments.  Whether you're at the beginning of your career or have extensive experience, you’ll play a vital role in pushing technology boundaries and delivering meaningful outcomes. 

• Design, build, and maintain scalable data pipelines to support data-driven applications and machine learning models.
• Manage and optimize database systems, including SQL and NoSQL databases, ensuring data integrity and accessibility.
• Leverage big data technologies such as Hadoop and Spark for large-scale data processing and analysis.
• Develop ETL (Extract, Transform, Load) processes to prepare data for downstream applications, analytics, and model deployment.
• Collaborate with data scientists, software engineers, and AI/ML specialists to ensure seamless data integration and pipeline efficiency.
• Implement and manage containerized environments using Docker and Kubernetes for scalable deployment of data solutions.
• Work with cloud platforms (AWS, Google Cloud, Azure) to manage data storage, processing, and access in a secure, cost-effective manner.
• Ensure data security and compliance with company and federal regulations when handling sensitive information.

• Bachelor's or Master's Degree in Computer Science, Data Science, Engineering or a related field.
• Active Secret or higher level security clearance or the ability to obtain.
• Experience in database management (SQL, NoSQL) and data warehousing.
• Skills in big data technologies such as Hadoop and Spark.
• Proficiency in ETL processes and data transformation techniques.
• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Programming skills in languages such as Python, Java, or Scala.
• Experience with machine learning frameworks and supporting AI/ML applications.
• Knowledge of CI/CD tools and practices.
• Familiarity with data governance, security, and compliance regulations.
• Excellent problem-solving abilities and a collaborative, team-oriented approach.

Whether you’re in early-career or a senior expert, we welcome applications from individuals ready to advance AI capabilities for the defense sector. Apply today!