Data Engineer Advisor

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:

Business Intelligence (BI), Data Analysis, Data Science

Certifications:

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

As a Data Engineer Advisor at GDIT, you'll have the opportunity to deliver innovative solutions to complex challenges. Your role will involve tailoring cutting-edge data engineering approaches to meet the unique requirements of our clients. With a career in data engineering, you'll prioritize delivering an exceptional data quality to users and applications, while we focus on supporting your professional growth.

At GDIT, our people are our differentiator. As a Data Engineer Advisor, you'll play a vital role in ensuring today's operations are secure and tomorrow's solutions are smarter. Your work will contribute to the Bureau of Fiscal Service's mission of modernizing and migrating a cloud-based payment application. In collaboration with stakeholders, you'll help develop software designs and code to scale this critical system, improving user insights and addressing real-world financial challenges.

Join our team and leverage your expertise to shape the future of secure and intelligent payment solutions for the U.S. Department of the Treasury. This will be a Hybrid role in Bossier City, LA  or remote from anywhere with a strong preference to Louisiana candidates

HOW A DATA ENGINEER ADVISOR WILL MAKE AN IMPACT:

• Lead the architecture, design, and implementation of a large-scale data migration project, moving complex data ecosystems from one cloud environment to another cloud environment.
• Collaborate closely with cross-functional teams, including data architects, developers, and business stakeholders, to understand data requirements, identify migration challenges, and develop robust migration strategies.
• Leverage advanced data engineering techniques, such as data ingestion, transformation, and modeling, to ensure data integrity, consistency, and availability throughout the migration process.
• Implement best practices for data governance, security, and compliance, ensuring that migrated data adheres to industry standards and regulatory requirements.
• Optimize and streamline data pipelines, leveraging cloud-native services and automation tools to improve efficiency, scalability, and cost-effectiveness in the cloud environment.

WHAT YOU’LL NEED TO SUCCEED:

• MS (or equivalent experience),  8+ years of experience
• US Citizenship Required
• Demonstrated experience in leading data migration in AWS cloud.
• Proficiency with AWS data services such as S3 (data lake), Redshift (data warehousing), Athena (querying data lake), Glue (ETL), and QuickSight (data visualization).
• Experience in data ingestion, transformation, and loading processes in AWS, including setting up data pipelines and automating data flows.
• Experience in database migration techniques, including schema translation, data extraction, and setup in the new cloud environment.
• Knowledge of AWS data lake architecture patterns and best practices for designing and optimizing data lakes.
• Understanding of data governance, security, and compliance best practices in AWS.

NIICE TO HAVE:

• Familiarity with AWS CI/CD pipelines and DevOps practices.
• Proficiency in programming languages like Python for data engineering tasks and scripting.
• Familiarity with project management tools like JIRA.

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 $119,000 - $161,000. 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.

Scheduled Weekly Hours: