Description

SAIC is actively looking for a highly skilled and motivated Senior Data Engineer to become a part of our dynamic team. Within this collaborative environment, the selected candidate will not only contribute their expertise but will work closely with a diverse group of professionals, including developers, data scientists, cloud engineers, architects, and customers. The Senior Data Engineer will play a crucial role in the success of our data-driven initiatives by constructing robust data pipelines and preparing data for consumption by data scientists, analysts, and various other data systems.

• This is a full-time remote job that can be worked anywhere within the US.*

Responsibilities:

• Design and develop advanced data pipelines to seamlessly integrate data from diverse sources.
• Collaborate with data scientists, analysts, and architects to understand and address data requirements.
• Implement robust data quality checks and data validation processes.
• Optimize the performance and scalability of data systems.
• Troubleshoot and resolve issues related to data pipelines and data infrastructure.
• Stay current with industry trends and incorporate best practices in data engineering.

Qualifications

REQUIREMENTS:

• Must be a US Citizen.
• Bachelors degree with five or more years of related experience.
• Proficiency in programming languages such as Python.
• Hands-on experience with data integration tools such as Apache Kafka or Apache Nifi.
• Strong understanding of data modeling and database design principles.
• Familiarity with cloud platforms, particularly AWS .
• Knowledge of SQL and expertise in database query optimization.
• Understanding of data governance and security standards.
• Bachelor's degree in computer science, data engineering, or a related field.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work effectively in a team environment.
• Detail-oriented with a strong focus on data accuracy and reliability.