Data Engineer

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

Agile Methodology, Amazon Web Services (AWS), Data Visualization, Software Platforms, Structured Query Language (SQL)

Certifications:

AWS Cloud Practitioner - AWS

Experience:

2 + years of related experience

US Citizenship Required:

No

Job Description:

Seize your opportunity to make a personal impact as a Data Engineer supporting the CMS Cloud team. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. As a Data Engineer our work depends on designing, developing, maintaining and testing infrastructure for data generation as well as optimizing data flow and collection for cross functional teams.

Program Overview:  GDIT is seeking professionals to support the CMS Cloud team in delivering brokerage services for infrastructure teams including the following: Cloud services from CSPs includes Microsoft Azure Government (MAG) and Amazon Web Services (AWS); Equinix data center leased space; hardware; Software; OEM professional services; and asset and financial management services. Our product-driven team works directly with CMS and their Hybrid Cloud application teams to ensure efficient and cost-effective cloud & product use. Our team is responsible for financial management tools CMS application developers use to optimize and manage their cloud applications. Successful candidates are eager to take the initiative on a large Cloud resell program where optimization and attention to detail is crucial.

HOW YOU WILL MAKE AN IMPACT:

• Contributes to completion of cost tool development efforts by ensuring all financial data is collected, maintained, stored, and optimized to flow into various teams.
• Creates and maintains optimal data pipeline architecture.
• Analyzes IT environments to identify and assess critical capabilities and recommend solutions to problems of moderate scope and complexity.
• Optimize data for performance, scalability, security, and cost-efficiency in cloud environments.
• Analyzes customer requirements and provides data according to the client's wide range of moderately complex specifications and needs
• Maintains and recommends moderately complex updates to data ensuring changes are implemented without disruption
• Creates and implements contingency plans in preparation of potential cloud service outages
• Collaborates with cost tool engineering team to transform data and integrate algorithms and models into automated processes.
• Design, develop, and maintain API structures
• Write clean, maintainable, and testable code.
• Develops and conducts thorough testing to ensure data solutions meet documented user requirements throughout data lifecycle.
• Work with AWS Storage and Analytics services (S3, Glue, Athena, QuickSight, Lake Formation, etc.)
• Work with AWS Compute and Management services (Lambda, Fargate, CloudFormation, CloudWatch, etc.)
• Builds upon current knowledge of relevant programming that will enhance overall functionality
• Performs additional duties as assigned

WHAT YOU’LL NEED TO SUCCEED:

• Education: B.S in Computer Science or a closely related field or equivalent combination of education, professional training or work experience
• Required Experience: 2+ years’ experience
• Required Technical Skills: Experience with AWS including RDS, Redshift, DynamoDB, Lambda, Athena, S3, Glue, or Lake Formation; Experience transforming data for use in Data Visualization tool such as Amazon QuickSight, Tableau, PowerBI, etc.; Experience in writing complex SQL scripts using Trino, Presto, Postgres SQL, Oracle, AWS Redshift, or other relational Databases; Experience with task tracking and documentation tools such as Jira or Confluence
• Security Clearance Level: No clearance needed
• Required Skills and Abilities: Str