AWS Data & AI Cloud Engineer: Generative AI & Pipelines
Innovative Solutions
Washington (District of Columbia)
On-site
Full time
14 days+
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Job summary
A leading technology firm in Washington, DC is seeking a skilled Data/AI Cloud Engineer to implement AWS data and AI/ML services, build ETL/ELT pipelines, and develop intelligent data solutions. The ideal candidate has over 5 years of experience in software engineering, including at least 2 years in cloud-native development and direct experience with Generative AI. Excellent collaboration and communication skills are essential. This role offers an opportunity to drive impactful data solutions in a dynamic environment.
Qualifications
5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development.
2+ years of hands-on AWS experience with production deployments.
1+ years of direct Generative AI experience.
Responsibilities
Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR.
Creating and maintaining data extraction, transformation, and loading processes.
Configuring AWS database services including RDS, Aurora, Redshift, and DynamoDB.
Designing and building production-ready Generative AI applications.
Skills
Technical familiarity with AWS data and AI/ML services
Hands-on experience with ETL/ELT processes
Exposure to Generative AI concepts
Ability to write and optimize SQL queries
Strong analytical and problem-solving skills
Excellent communication skills
Collaborative mindset
Experience or interest in automation and infrastructure as code
Job description
A leading technology firm in Washington, DC is seeking a skilled Data/AI Cloud Engineer to implement AWS data and AI/ML services, build ETL/ELT pipelines, and develop intelligent data solutions. The ideal candidate has over 5 years of experience in software engineering, including at least 2 years in cloud-native development and direct experience with Generative AI. Excellent collaboration and communication skills are essential. This role offers an opportunity to drive impactful data solutions in a dynamic environment.