Mid Data Architect / Data ScientistChenega Corporation • Arlington, Texas, United States
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Mid Data Architect / Data Scientist
Chenega Corporation
- Arlington, Texas, United States
- Arlington, Texas, United States
About
Arlington, VA
Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting‑edge technology and take your career to the next level!
The Mid‑Level Data Architect / Data Scientist supports the development and implementation of enterprise data architectures and analytics solutions supporting CDAO data‑driven mission initiatives.
Responsibilities
Support development of scalable data architectures supporting analytics and AI initiatives.
Design and maintain data pipelines and data processing workflows.
Support development and deployment of machine learning and analytics models.
Assist with the integration of multiple enterprise data sources and platforms.
Support development of data governance and metadata management processes.
Perform exploratory data analysis and support mission analytics activities.
Collaborate with engineers and data scientists to deliver analytics solutions
Other duties as assigned.
Qualifications
Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
4+ years of experience in data engineering, data science, or analytics.
Experience with data analytics tools, cloud data platforms, or machine learning frameworks.
Active Secret security clearance required (or higher).
Preferred Qualifications
Master Degree Preferred
Experience supporting DoD, CDAO, Joint Staff, or federal data modernization initiatives, including AI/ML, advanced analytics, and enterprise data management programs.
Experience with cloud‑based analytics and data engineering platforms such as AWS, Azure, Databricks, Snowflake, Python, Spark, TensorFlow, PyTorch, or similar technologies, and relevant certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or equivalent.
Knowledge, Skills, and Abilities
Ability to work on‑site 5 days a week
Ability to work independently and yet be effective within a team setting
Must be capable of managing multiple efforts with time‑related constraints in a fast‑paced contracting environment
Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
Excellent skills in Microsoft Word, Excel, and other Office applications
Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues.
Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
Good problem‑solving skills; ability to visualize a problem/situation and think abstractly to solve it
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Languages
- English
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