Job Description

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

AWS Analytics, Data Analysis, Information Technology Infrastructure Library (ITIL), Microsoft Azure

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is seeking Senior Data Engineers to support its Technology Shared Services (TSS) Data and Analytics organization

 

GDIT is committed to strategic workforce planning and cultivating a pipeline of talented professionals for anticipated future needs. While there is not an active opening for this position at this time, we welcome expressions of interest from individuals with experience and qualifications aligned to the Data Engineer Senior role.

Submitting your information will allow us to consider you for future opportunities as they arise. We encourage you to apply if you would like to be considered when positions become available.

Thank you for your interest in GDIT. We value your desire to be part of our team and look forward to the possibility of connecting in the future.  

HOW A DATA ANALYST SENIOR WILL MAKE AN IMPACT

• Responsible for data migrations, data modeling, and creating schema.
• Provides expert-level design and development of relational databases.
• Designs, implements, and maintains data pipelines to perform extract, transform, and load (ETL) data from sources to destinations.
• Builds and manages cloud-native data architectures in AWS and Azure.
• Identifies and directs information needs and elements, data relationships and attributes, data flow and storage requirements, and data output and reporting capabilities.
• Leads new data development ensuring consistency and integration with existing data warehouse structure.
• Reviews business requests for data and data usage, researches data sources for new and better data feeds.
• Maintains comprehensive documentation on data processes, pipelines, and architecture for knowledge sharing and collaboration.
• Leads continuous improvement efforts in enhancing performance and providing increased functionality, including performing proactive maintenance such as ensuring continued space availability, monitoring activity, and documenting problems, changes, and solutions.
• Assignments may include design of data dictionaries, database structure and layout, installing, upgrading, and managing database applications.
• Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions.
• Collaborates with different teams to understand their data needs and create solutions that solve problems and streamline workflows.

WHAT YOU WILL NEED TO SUCCEED:

Education:

• BA/BS (or equivalent years of experience)

Required Experience :

• 5+ years of relevant experience

• Required Skills and Abilities:

• Experienced in AWS and Azure cloud environments.
• Proficient in Python to perform data analysis and engineering tasks.
• Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS).
• Proficient in database administration and Structured Query Language (SQL).
• Experienced in data modeling and data normalization techniques.
• Experienced in different data structures, including relational databases, semi-structured, and object stores.
• Experienced in database migrations, including homogenous and heterogenous and on-prem and cloud.
• Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences.
• Good team player, able to manage multiple assignments, and adapt to changing client needs.
• Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI.

Preferred Skills:

• AWS Certified Solutions Architect Associate
• Azure Fundamentals
• Azure Data Fundamentals
• Knowledge of ITIL framework
• Knowledge of Agile methodology
• Demonstrated experience consulting with internal and external customers to understand business needs and make recommendations.
• Previous experience in the defense or government sector
• Familiarity with cloud services: AWS, Google Cloud, Microsoft Azure, etc.) and big data tools is plus.
• Experience in optimization algorithms and natural language processing is a plus.
• Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional)

Preferred Skills:

• Certifications in Tableau and/or Power BI
• Certifications in AWS and Azure
• Knowledge of ITIL framework
• Knowledge of Agile methodology
• Familiarity with Azure DevOps or similar tool(s)
• Experience with Python and R
• Link to sample Tableau, Power BI, and data visualization work/portfolio is preferred
• Demonstrated experience consulting with internal and external customers to understand business needs and make recommendations
• Previous experience in the defense or government sector
• Familiarity with cloud services: AWS, Google Cloud, Microsoft Azure, etc.) and big data tools is plus.

GDIT IS YOUR PLACE:
● Full-flex work week to own your priorities at work and at home
● 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 $91,123 - $123,283. 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.

Scheduled Weekly Hours:

40

Travel Required:

None

T elecommuting Options:

Hybrid

Work Location:

USA LA Bossier City

Additional Work Locations:

USA LA New Orleans

Total Rewards at GDIT:

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. 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 50 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.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Job Tags

Temporary work, Immediate start, Work from home, Worldwide, Flexible hours,

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