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cBEYONData is seeking an AI Data Engineer to implement AI-driven data engineering practices to integrate data from multiple legacy systems, support creation of the enterprise data model, and generate data artifacts for shared services. This role combines traditional data engineering with modern AI/ML capabilities to accelerate schema mapping and data integration.
Responsibilities
- Ingest, profile, and reconcile data from multiple legacy and modern systems.
- Develop data pipelines to normalize and align disparate data sets.
- Build and maintain the data object inventory and mature it into an authoritative model.
- Apply AI tools to accelerate schema mapping and identify gaps in existing data.
- Collaborate with Business Process Analysts to align sub-step data with the enterprise data model.
Requirements
- Bachelor’s degree in computer science, engineering, or related field.
- 5+ years’ experience in data engineering.
- Proficiency in SQL, Python, and modern data tools.
- Demonstrated experience applying AI/ML to data integration or modeling tasks.
- Working location is hybrid in the DMV: Crystal City, VA, Ft. Meade, MD, and Hanover, MD
Preferred Qualifications
- Knowledge of data governance, MDM, and lineage tracking.
- Experience in federal or defense IT/data programs.
cBEYONData is an EEO Employer of Veterans and Individuals with Disabilities.
Equal Employment Opportunity:
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
cBEYONData is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with the Americans With Disabilities Act and applicable state and local law. If you require assistance or a reasonable accommodation to complete the application, please contact the cBEYONData Recruiting Team, [email protected].
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