Data Platform Engineer - New York, United States - Dunhill Professional Search

Description

US Citizenship Required

Hybrid work schedule - must be on-site 2-3 days per week in San Antonio TX or St Louis MO facility.

Relocation assistance is available.

Our client is a leader in federal IT consulting and is looking for talented individuals to join their AI & Technology practice Their mission is to use technology and ingenuity to help the

US government

across a variety of agencies.

The Cloud Data Engineer will help to build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems.

You develop and drive automated solutions and solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

As part of our AI & Technology group, you will lead cloud technology innovation for our clients through robust delivery of world-class data platforms.

There will never be a typical day and that's why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing cloud data landscape. You will thrive in a team setting where you can use your creative and analytical prowess to obliterate problems. You're passionate about digital technology, and you take pride in making a tangible difference. Complex issues don't faze you thanks to your razor-sharp critical thinking skills.


Qualifications:
Experience with SQL, data modeling, and building ETL pipelines
Knowledge of data management fundamentals and data storage principles
Experience in coding and automating processes
Cloud Data Services experience through certification, education, or hands-on experience
Bachelors degree and 3+ years of hands-on experience or a Masters/PhD in a related field.

Candidates must be US citizens and will be required to undergo a background investigation in order to gain access to sensitive information.

Bonus Points:
Data Warehousing
Object-oriented languages
Schema design