ECS is seeking a Data Engineer to support an Artificial Intelligence initiative by providing data management and technical architecture support for cloud and on-premise resources.
Requirements
- Experience working with cloud technologies (Amazon Web Services, Microsoft Azure, etc.).
- Experience with Linux OS (RHEL, Ubuntu).
- Experience with programming languages Python, Bash, Java, and/or SQL.
- Experience transforming and manipulating data sets.
- 2-4+ years of working experience in one of the related areas: Data Science, Computer Science or Computer Engineering. Relevant course work may be considered as a substitute for actual experience.
Responsibilities
- Work closely with data engineers and architects to engineer Extract, Transform, Load (ETL) solutions to prepare raw data for ingest into machine learning (ML) environments for algorithm training, tuning and evaluation.
- Design, develop and maintain data services and/or pipelines as part of an Agile/Scrum team.
- Support continuous process automation for data ingest.
- Support the development and integration of ML algorithms for testing and operational deployment.
- Perform data analysis to assist in decision-making.
- Assist in architecture design for cloud and on-premise solutions.
- Work with program management and engineers to implement and document complex and evolving requirements.
Other
- Must be a US Citizen with the ability to obtain Secret Clearance.
- Possess a Bachelor's Degree in Data Science, Math, Statistics, Information Management, Computer Science, Engineering, or an equivalent STEM field.
- Perform multiple tasks simultaneously with evolving requirements and deadlines.
- Help cultivate an environment that promotes customer service excellence, innovation, collaboration and teamwork.
- Learn and apply new tools and techniques in support of ML algorithm development.
