C
Data Engineer
United States of America
Full Time
2 hours ago
No H1BKey skills
Data Pipeline DevelopmentAgile/Scrum MethodologyData Extraction and ProcessingProcess AutomationAPI-first DesignContinuous IntegrationVersion ControlAutomated TestingETL ProcessesData Manipulation - PythonData Manipulation - RData Manipulation - SQLData Manipulation - SASBig Data AnalysisBig Data Storage TechnologiesCI/CD PipelinesRelational Databases - PostgreSQLGit RepositoriesPythonSQLRShellETLAnalyticsBusiness IntelligenceTableauPostgreSQLGitAgileScrumCI/CDCollaboration
About this role
CGS Federal is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions for federal customers. The role involves developing data pipelines, collaborating within Agile teams, and ensuring the performance and reliability of data processes.
Responsibilities:
- Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
- Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices
- Write code to ensure the performance and reliability of data extraction and processing
- Support continuous process automation for data ingest
- Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
- Work with program management and engineers to implement and document complex and evolving requirements
- Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
- Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists
Requirements:
- Must be a US Citizen
- Must be able to obtain a Public Trust Clearance
- 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models
- Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats
- Proficiency in developing ETL processes, and performing test and validation steps
- Proficiency to manipulate data (Python, R, SQL, SAS)
- Strong knowledge of big data analysis and storage tools and technologies
- Strong understanding of the agile principles and ability to apply them
- Strong understanding of the CI/CD pipelines and ability to apply them
- Experience with relational database, such as, PostgreSQL
- Work comfortably in version control systems, such as, Git Repositories
- Experience creating and consuming APIs
- Experience with DHS and knowledge of DHS standards a plus
- Candidates will be given special consideration for extensive experience with Python
- Ability to develop visualizations utilizing Tableau or PowerBI
- Experience in developing Shell scripts on Linux
- Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions
- Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences