What are the responsibilities and job description for the Data Engineer position at Credence company?
Data Engineer
Job Locations
US-VA-McLean
2024-8884
Category
Information Technology
Type
Regular Full-Time
Overview
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI / ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for warfighters and secure our nation for a better future.
We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.
Job Description :
Credence has an immediate need for a Data Engineer to join our Technology Practice. This position will provide an opportunity to work with an experienced team of Cloud Engineers, Solutions Architects, Data Scientists, Developers, and Cyber Security professionals. The successful candidate will have the opportunity to work in a federal client environment and grow their career in the Cloud and Data Science spaces by honing their cloud and data science knowledge and skill-sets.
Responsibilities include, but are not limited to the duties listed below
Assist in designing, developing, and maintaining ETL pipelines to extract, transform, and load data from diverse sources into cloud-based data platforms.
- Integrate data pipelines into DevSecOps practices using support CI / CD pipelines
- Utilize Infrastructure as Code (IaC) to manage and deploy data pipelines
- Perform data cleansing, transformation, and aggregation to ensure data integrity and accuracy
- Assist in monitoring and troubleshooting data-related issues to ensure smooth operations
- Collaborate with cross-functional teams, including architects, data scientists, cloud engineers, software engineers, and business analysts to enable data-driven decision-making
- Research and stay up-to-date with emerging data engineering technologies and best practices
Education, Requirements and Qualifications
Nice to Have :
Working Conditions and Physical Requirements
Please join us, as together we build a better world one mission at a time powered by technology and its people!
LI-Hybrid
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