Data Engineer

Req ID: RQ186836Type of Requisition: RegularClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required: NoneJob Family: Data ScienceSkills:Agile Methodology,Amazon Web Services (AWS),Data Visualization,Software Platforms,Structured Query Language (SQL)Certifications:AWS Cloud Practitioner - AWSExperience:2 + years of related experienceJob 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: Strong analytical and problem-solving skills; Excellent communication skills, with the ability to present information to stakeholders; Ability to work independently and as part of a cross-functional team

Preferred Skills: AWS Certification; Bachelors degree in Computer Science; Experience with AWS including Redshift, DynamoDB, Athena, S3, Glue, Lake Formation, et al.; Working knowledge with software platforms and services, such as, Docker, Kubernetes, SQS, SNS, Kafka, NiFi, Airflow, or similar; Experience with Linux, Python, Git preferred; Familiarity with Agile methodology

Location: 100% remote working; DMV preferred; Program resources must be willing to travel occasionally to the MD/VA/DC area on an as needed basis.

US Residency: Applicants shall have lived in the United States at least three (3) out of the last five (5) years prior to submitting an application for a Federal ID Card

Working Hours: Monday-Friday 9am to 5:30pm eastern time. All resources on the program must support occasional incident/issue during non-core business hours.

GDIT IS YOUR PLACE:

401K with company match

Comprehensive health and wellness packages

Internal mobility team dedicated to helping you own your career

Professional growth opportunities including paid education and certifications

Cutting-edge technology you can learn from

Rest and recharge with paid vacation and holidays

The likely salary range for this position is $85,000 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.